inputs stringlengths 171 670 | targets stringclasses 12 values | _template_idx int64 0 9 | _task_source stringclasses 1 value | _task_name stringclasses 1 value | _template_type stringclasses 2 values |
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In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: Ytinker_ramone I want more porn
| Solution: positive | 5 | NIv2 | task195_sentiment140_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Why? There is an expression of happiness in this tweet text, hence we can say it's positive.
New input: @Jakpedz you should come out!!
Solution: | positive | 0 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@girlgetstrong2 hey girly .. the link for your spinach recipe isn't working
Answer: | negative | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
poor baby@sheis_sohood
negative
@AnchoredInHope Just me being a fan of something right now. Nothing out of the norm here in Florence, though.
positive
talking to ella reliving memories from the old days and the last weekend things are neving going to be the same again
| negative
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ouch! I just poked myself in the eye wahhh! i'm in pain
negative
@JDG333 I did give up for a while...but I'm back.
positive
Fitting Cu EPR signals with easyspin...it's killing my laptop
| negative
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
instruction:
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
question:
@miss_kelicious dont lie. cheryl scold me for using it wrongly jaiho u .
answer:
negative
question:
@teebalicious- we miss you. Aint the same here without you
answer:
negative
question:
working on PP introduction. hooo this effing intro is killing me [Link]
answer:
| negative
| 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
well i learnt nothing missed some of it
negative
@Ellie_mcgrath91 im coming the 8/8-16/8.. hope it will come up a gig or something xx
negative
@JamesDReid i got coupons to Popeye's chicken but I'll probably end up getting a burrito at freshii - this salad joint. healthy
| negative
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
hands are cold
Ex Output:
negative
Ex Input:
Hmm, If I could only fit under the couch. I see the clothesline snake *REACH REACH* I can't get it oh, Two-Legs! Halp!
Ex Output:
negative
Ex Input:
insomnia is no fun when your by your self
Ex Output:
| negative
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @channon3, @jleigh82, and I possibly playing beach volleyball this evening. But I just checked the weather and it looks yucky for later.
A: negative
****
Q: @eatlikeagirl Was going to but I have to go to Spain for work. I've missed multiple Dos Hermanos dinners now, all because of work.
A: negative
****
Q: Rosy's back!!!!!
A: | positive
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this: Taking a shower then going to bed. I gots church in the morning
Solution: | positive | 6 | NIv2 | task195_sentiment140_classification | fs_opt |
instruction:
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
question:
ok ok i got it, i got it....can't wait to be where i want to be
answer:
positive
question:
@KidNamedHuddy I'm fly with projects too.
answer:
positive
question:
@FlyAArmy WOW! That's one FULL passport!
answer:
| positive
| 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
The answer to this example can be: positive
Here is why: There is an expression of happiness in this tweet text, hence we can say it's positive.
OK. solve this:
@Hedgewytch not that u should need to be protected to be yourself You getting in trouble??? ;p
Answer: | negative | 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: Beautiful day!!! Jealous of anyone who doesn't have to work and study
| Solution: negative | 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
Also, I don't want to do PDEng
Ex Output:
negative
Ex Input:
Gave up after two... im bored!
Ex Output:
negative
Ex Input:
it was great catching up with my bestfriend, scott! seriously, he's AMAZING he's like the first guy i turn to when things go wrong<3
Ex Output:
| positive
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: loves what I have and wouldn't trade it for the world.
Output: positive
Input: Consider Input: @TheDebbyRyan Hello =D I'm big fan ! Do you speak a little French ?
Output: positive
Input: Consider Input: watching some YT vids
| Output: positive
| 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: family reunion on sunday. woot woot. khatija and waseem are coming to loxley. the only one missing is karapetyan. sadness.
| Solution: negative | 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: @FlyAArmy WOW! That's one FULL passport!
| Solution: positive | 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: This Serani No Games song is a straight...makes u wanna dance and do the grown up kinda LOL...j/k
Answer: positive
Question: nothing
Answer: positive
Question: Of rubenesque proportions!!!
Answer: | negative
| 7 | NIv2 | task195_sentiment140_classification | fs_opt |
instruction:
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
question:
Just figured out a way to print to my home printer from anywhere else via the internet! All in the name of science, of course.
answer:
positive
question:
@PattinsonRobT Man my twitter was hacked too (by my sister lol) I am so glad you didn't just give up on twitter (luv your tweets)
answer:
positive
question:
Last day of break
answer:
| negative
| 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @morethanthat your so cool text me anytime <3
[EX A]: positive
[EX Q]: Getting my hair done tomorrow... how exciting haha
[EX A]: positive
[EX Q]: Komodo National Park is now at rank #8 on the poll. up one spot from previous rank.keep voting at www.new7wonders.com.
[EX A]: | positive
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: Has just watched the New Moon Preview..........OMG I want 20.11.09 to hurry up Twilight Twilght Twilight
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: @EtLaLicorne LISTEN TO ME. YOU DIDN'T LET ME FINISH WHAT I WAS SAYING. JUST LIKE, MAKE A STORY, MAN. Oh fawked up McCanns.
SOLUTION: positive
PROBLEM: After reading the ghostbusters instruction manual cover to cover, I'm sooooooo psyched to play... one of these days
SOLUTION: negative
PROBLEM: Has just watched the New Moon Preview..........OMG I want 20.11.09 to hurry up Twilight Twilght Twilight
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: Watching sea world videos on youtube , i REALLY want to go , have a look [Link]
[EX A]: negative
[EX Q]: @semesterabroad love the new myspace look! i wish i could go on friday, but i work till 5.
[EX A]: negative
[EX Q]: @shannonleetweed wow I live in Phoenix (for the time being-moving to Cali). It's HOT as hell here
[EX A]: | negative
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: can't wait to see blake now.....my days off are all about quality time with the little monkey!!!cant wait til his summer hols
SOLUTION: positive
PROBLEM: poor baby@sheis_sohood
SOLUTION: negative
PROBLEM: @AmyKachurak ooooh! Great info! Thanks so much! I'm reading the tweet and @ojasil likey! Gonna talk to my realtor about it yay!
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @lanceriprock how's indulj? I just got home from bmore like 30 min ago
[EX A]: negative
[EX Q]: im hungooover and i been at work since 8 ... any shows tonight?
[EX A]: negative
[EX Q]: @purplish08 aww.... missyoouuu! get well soon!
[EX A]: | positive
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: That was quite a good episode of Dr Who. I eagerly await next week's episode
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: fuck this sucks ... no load to haul so no trucking tonite
A: | negative | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
tenative plan: pack, shower, nap, home
positive
@marginatasnaily Make the most of those precious hours and have some fun!
positive
@NIYANA awww lovee yahh too... {follow mee} plzz..
| positive
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: oh damn... i hate working!
SOLUTION: negative
PROBLEM: So excited about my touch pro but so not excited about going to work tomorrow....
SOLUTION: negative
PROBLEM: Not as entertained as I have been . OMG..I'm losing ittt !
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
Safari & WebKit keeps crashing for no reason after a while. Switching to Firefox
Ex Output:
negative
Ex Input:
Man... @littleradge and @bigxminh are freaking adorable.
Ex Output:
positive
Ex Input:
Jst got up. Already in a bad mood
Ex Output:
| negative
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Teacher: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Reason: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this instance: @caldjr yeh me 2
Student: | negative | 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: i want to see little boots in blackpool tonight. the combination is lethal. i want to go to the pleasure beach too
A: | negative | 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
@BFTDAnnie guess what, i have enough money to but my ipod and i no what i'm gonna get u as part of ur bday ) its really cool i wnt it
Ex Output:
positive
Ex Input:
@MedifastPr Btw I lost 17lbs on Medifast. Its helped me alot. And I love what I'm eating...that's very important to me: Gotta be TASTY
Ex Output:
positive
Ex Input:
fuck this sucks ... no load to haul so no trucking tonite
Ex Output:
| negative
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: solved her headache with some good soup from Panera
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Why? There is an expression of happiness in this tweet text, hence we can say it's positive.
New input: @NIYANA awww lovee yahh too... {follow mee} plzz..
Solution: | positive | 0 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: feels queasy- been fighting this all week, i think its finally going to take over
[A]: negative
[Q]: Not fair how during sale season fat ppl always get the good stuff
[A]: negative
[Q]: solved her headache with some good soup from Panera
[A]: | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: the has gone walking home, been on the park with Lorna.
A: | negative | 9 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: @pawmarks Very cool We have a lot in common!
SOLUTION: positive
PROBLEM: can't wait to see blake now.....my days off are all about quality time with the little monkey!!!cant wait til his summer hols
SOLUTION: positive
PROBLEM: found a nice and sleek livejournal layout! add me if you have an account on there: [Link]
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: @badbanana haha, great made my day!
Output: positive
Input: Consider Input: @semesterabroad love the new myspace look! i wish i could go on friday, but i work till 5.
Output: negative
Input: Consider Input: At Veternans Memorial Park in Shakopee. We like it here. The boys are going to fish... or at least drop a line in the water
| Output: positive
| 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
The answer to this example can be: positive
Here is why: There is an expression of happiness in this tweet text, hence we can say it's positive.
OK. solve this:
@JBxTurnRight2Me [Link] - I wish I could have been there tonight.
Answer: | negative | 8 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: @MickCornett Taking the kiddo to see Earth this afternoon, but Wolverine came out . . . I bet that's a good choice.
SOLUTION: positive
PROBLEM: i think jls's song is catchy and i bought beautiful shoes today
SOLUTION: positive
PROBLEM: @mfeige Thanks! I'm going to the Laker game tonight. Sec 108. I LOVE LA!
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: woke up earliier den usual(thxnks ciindy]...eatiin pancakes...bout 2 get iinto dha cleaniin siituatiion l8r...bout 2 hiit youtube
[EX A]: positive
[EX Q]: @JDG333 I did give up for a while...but I'm back.
[EX A]: positive
[EX Q]: has a headache...it wont go away and i dont want to od on panadol....lol....seriously though it hurts
[EX A]: | negative
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: I think I'm coming down with something *sniff*
A: | negative | 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @mikki_kayla02 Sorry! I didn't mean to ruin the rest of your day
A: negative
****
Q: Ok I don't need to go on minute by minute detailed rides fuck what happened to poiint the bike in a direction and go????????I'm fucked
A: negative
****
Q: #naperfectworld I'd have two tickets to the BET AWARDS
A: | negative
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this: Testin twitter
Solution: | positive | 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: @aceconcierge That's my song lol
[A]: positive
[Q]: is rewriting an About Me for MySpace and listening to Nevershoutnever!. Follow me Garrett, I love youu :]
[A]: positive
[Q]: @trvsbrkr o.o I hope that is true
[A]: | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: @girlwithfringe Ok, thought u were thinking of buying 1. Ye gd thx, u? Loooong time no see! Ye im doing Nyo summer and next year u?
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: Not fair how during sale season fat ppl always get the good stuff
[EX A]: negative
[EX Q]: @bumblefee I'm sorry. Tell yourself that the rain is what makes Scotland green... just like it makes Oregon green. Voila--- you're here!
[EX A]: positive
[EX Q]: woke up to some texts. i'm going back to sleep. i hate morning headaches.
[EX A]: | negative
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
instruction:
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
question:
Big exam today. Bleh.
answer:
negative
question:
@AmongstStars awee!
answer:
negative
question:
I do not like the nights of winter is very cold is good blanket to sleep with ear
answer:
| positive
| 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
The answer to this example can be: positive
Here is why: There is an expression of happiness in this tweet text, hence we can say it's positive.
OK. solve this:
#exam today
Answer: | negative | 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: @ryanwagner It's still a bit off in the distance, but people have been asking for a teaser.
[A]: positive
[Q]: listening to music
[A]: positive
[Q]: im going to the shop for sweeties, be back soon
[A]: | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: I'M FREAKING OUT
A: positive
****
Q: @marginatasnaily Make the most of those precious hours and have some fun!
A: positive
****
Q: @karshugs we spoke about this karla...geezzz ;) i'm too critical of book movies. & yes i would love to see it with you
A: | positive
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: on my way homeeee! amazing night
[A]: positive
[Q]: woke up earliier den usual(thxnks ciindy]...eatiin pancakes...bout 2 get iinto dha cleaniin siituatiion l8r...bout 2 hiit youtube
[A]: positive
[Q]: Back to having shitty Nescafe. Out of coffee beans
[A]: | negative
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @alyssalovesm hahaha wait wait wait wait... And now punch your minitor!!! Lmaaao
[EX A]: positive
[EX Q]: @nashvillest I think your early poll results tell no lies.
[EX A]: positive
[EX Q]: think i have swine flu
[EX A]: | negative
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@angelayee sorry
Answer: | negative | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: @ominous_l are you a senior? if so when and where is your grad nite?
Output: positive
Input: Consider Input: @ashleytisdale [Link] - Awesome! The best of luck to you Ashley!
Output: positive
Input: Consider Input: wet and naked!!! Just got out of the shower =P Freezing my ass off
| Output: negative
| 2 | NIv2 | task195_sentiment140_classification | fs_opt |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: @wdwblog I'd beta test your mobile site. I couldn't get your comments to work from my bberry. DM me if I can help. Exciting concept!
Solution: | positive | 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: ugh so annoyed wit the rents...
| Solution: negative | 5 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: *cries* i dont want to do this anymore
SOLUTION: negative
PROBLEM: Monday Monday Monday
SOLUTION: negative
PROBLEM: ugh so annoyed wit the rents...
SOLUTION: | negative
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: @kimmikennedy Yeah. I just can't watch movies online before I see em at the movies. Gotta get the full effect ya know
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
The answer to this example can be: positive
Here is why: There is an expression of happiness in this tweet text, hence we can say it's positive.
OK. solve this:
WORK Mode!!!! Will I shoot today or get rained out? Weather gurus message me your thoughts for Fort Wayne from 6-8 PM. Thx.
Answer: | positive | 8 | NIv2 | task195_sentiment140_classification | fs_opt |
instruction:
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
question:
Now i want Amanita ...someone made me feel unliving.
answer:
negative
question:
www.twitpic.com/6ttmg (BBB7)/www.twitpic.com/6ttpk (BBB9) sonhos realizados, graças ao @boninho )) big brother brazil is the beeest !
answer:
positive
question:
@Seowhow Gdnight SP!
answer:
| positive
| 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
thinking of a new real estate company name for my client...need to go to the loo first... my thinking chair
Ex Output:
positive
Ex Input:
I just got destroyed by a practice test. Hold me
Ex Output:
negative
Ex Input:
@sianette haha im sure we will I have one exam left, tomorrow!!
Ex Output:
| positive
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this: @vampirefreak101 yeah..but the problem is that she had to co-sign my College loans...so if I screw it up, she'll have to stand up for it.
Solution: | negative | 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: if you're into things spiritual/pagan/wiccan, follow my alter-ego @mysticknyght1 for those sort of tweets
A: positive
****
Q: @Dannymcfly good luck guys!! love you Danny xxxxx
A: positive
****
Q: @mishlamanda Hahaha! That sure didn't take you long. I'm impressed.
A: | positive
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
going to read huck finnn
negative
@ItsNeet *phew* thanks because I have to listen to something else now
positive
may the forth be with you
| positive
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@rainaa i know. i like owls.
Answer: | negative | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: loves what I have and wouldn't trade it for the world.
Example Output: positive
Example Input: Awww I Miss My Baby
Example Output: negative
Example Input: upset miss @sophieharris10 will be leaving us tomorrow Pastries for breakfast tomorrow morning! Better work hard at badminton tonight
Example Output: | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
@karenechurch jealous! can you send one over for me?
Ex Output:
positive
Ex Input:
Listening to Kenny Chesney's album Be As You Are makes me want to go to the Caribbean badly
Ex Output:
negative
Ex Input:
@earth2travis appreciate the sentiment, but I just moved out if Athens to San Francisco
Ex Output:
| positive
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: @reginaestacio me too. its depressing.
Solution: | negative | 4 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: is definatley finishing this dissertation today. and then RE-LAX-ING for a day. cant believe im missing shipwrecked
SOLUTION: negative
PROBLEM: @KarenMW Oh so she is not the one who is dying... oh no Omale must be leaving then!
SOLUTION: negative
PROBLEM: @beautyandbedlam I didn't know you were on here either. I love to read your blog. Your RSS feed is near the top of my iGoogle page.
SOLUTION: | positive
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
Teacher: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Reason: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this instance: Leavinq tuesday Imma miss my baby & everyone o'dee . HopefuLLy this 2 months fLy by
Student: | negative | 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example output: positive
Example explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: wants to be down the grassmarket sunning it up with a cold one
A: | positive | 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this: @Mia__Cavallo I have clothes in a couple of sizes, so a whole new wardrobe awaits!!! A change of image and life style is overdue!!
Solution: | positive | 6 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@Mrs_McFox because
Answer: | negative | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@HALO_3_FANS hey, good to see another #halo3 player, anyone fancies a game anytime just follow n I'll give you my XBL details
positive
Argh migrane hurts!! It's starting back again noooooo...ok I'm going to bed
negative
@carenl Aww thanks Miss
| positive
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @nashvillest I think your early poll results tell no lies.
A: positive
****
Q: Ugh! Have the hiccups
A: negative
****
Q: Packing all of my clothes and stuff really enforces the fact that I'm leaving so soon
A: | negative
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: @Ellie_mcgrath91 im coming the 8/8-16/8.. hope it will come up a gig or something xx
Example Output: negative
Example Input: My eyeball hurts.
Example Output: negative
Example Input: writing an essay for English... I hope I do good...I really need to get a 2.0 this semester! I hate having bad grades
Example Output: | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: about to watch a horror film.... with my dad. he says we need some father-daughter bonding. uhhh... i dont think so
A: | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: @Roommate_Wanted they thanks for the follow Friday shout out! Congrads on your new roommates to come
Answer: positive
Question: midterms tomorrow i need to start studying!!!
Answer: negative
Question: @Mrs_McFox because
Answer: | negative
| 7 | NIv2 | task195_sentiment140_classification | fs_opt |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: @cuevafamily I know how you feel, gurl. I hope things get better!
Solution: | negative | 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: may the forth be with you
Output: positive
Input: Consider Input: Oh My God, Listening to Rob Thomas' "Her Diamonds" and let me tell you I LOVE it. one of the best songs ever.... feeling bad for Chris
Output: negative
Input: Consider Input: I think @krystalho and I just had almost a total of 3 hours add maths class.
| Output: negative
| 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: @Meggyjo90 oh no! not good.
Example Output: negative
Example Input: @Cellobella They don't do them in my size How r u?
Example Output: positive
Example Input: @brennafender Sure did lol. I had a good laugh
Example Output: | positive
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
TASK DEFINITION: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: Just reported a beached whale on the ocean side between 61st and 62nd in Long Beach. So sad.
SOLUTION: negative
PROBLEM: Have not twittered in 15 days!? GOO'NIGHT..
SOLUTION: negative
PROBLEM: I�m sad JL of Lost is really dead, poor him.
SOLUTION: | negative
| 8 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: @bebemonster Get 100 followers a day using www.tweeterfollow.com Once you add everyone you are on the train or pay vip
[EX A]: positive
[EX Q]: @getgood Me too! It was ace! Want to do it all again
[EX A]: positive
[EX Q]: i feel like rev run. tweeting from a bubble bath except i have nothing insightful to say.
[EX A]: | positive
| 6 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: We need 17390 Votes for McFLY and MORE!! C'mon each of you 100 votes!! so we need 174+ ppl !!! Be awesome! www.musiqtone.com
Answer: positive
Question: messed up. again never thought I'd need you here so much xx
Answer: negative
Question: "Mamma Mia" on Tuesday and Wednesday
Answer: | positive
| 7 | NIv2 | task195_sentiment140_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Why? There is an expression of happiness in this tweet text, hence we can say it's positive.
New input: I�m sad JL of Lost is really dead, poor him.
Solution: | negative | 0 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
sam and dean go back to schooll.
Ex Output:
positive
Ex Input:
@FrankieTheSats @unahealy are you performing there today? if yes, i would love to be there anyway, love from germany
Ex Output:
negative
Ex Input:
Taken the day off college to rest my ankle. Got a lot of guitar practice aimed for today. Oh and possibly some work
Ex Output:
| positive
| 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Teacher: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Reason: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this instance: i just had the best dinner ever. hoka bento + home made salad + salami with tore ore icecream choco cake for dessert. i am so getting fat
Student: | positive | 2 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: starting a new diet/fitness plan tomorrow, it's gonna be rough. Starts with a 2 day fast. Think of me tomorrow while you eat
[A]: negative
[Q]: @channon3, @jleigh82, and I possibly playing beach volleyball this evening. But I just checked the weather and it looks yucky for later.
[A]: negative
[Q]: Crack The Shutters - Snow Patrol. One of my all time favs
[A]: | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: Had a lovely time having big adventures in Sydney, shame I'm back at work
[A]: negative
[Q]: is definatley finishing this dissertation today. and then RE-LAX-ING for a day. cant believe im missing shipwrecked
[A]: negative
[Q]: Just got back from the dog park. Some jerk's dogs kept going after Koa and he didn't care. So... The "Jersey" in me came out
[A]: | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@steviecesal Haha Idk. Goodnight stevie.
Answer: | positive | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: @flyfiddlesticks Spymaster is a crappy twitter based spy game
Example Output: positive
Example Input: Tweetie is basically useless with a flakey connection
Example Output: negative
Example Input: going to bed... too tired after being standing up 4 2 hours saying hello to old ladies....
Example Output: | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution is here: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Now, solve this: my trainer calls ... I have to go to sport
Solution: | negative | 6 | NIv2 | task195_sentiment140_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Output: positive
There is an expression of happiness in this tweet text, hence we can say it's positive.
New input case for you: Crack The Shutters - Snow Patrol. One of my all time favs
Output: | positive | 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Part 1. Definition
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
@justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Answer: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Part 3. Exercise
@mattmecham Stop teasing. I'm not allowed to eat for another 15 hours.... Doctors orders.
Answer: | negative | 7 | NIv2 | task195_sentiment140_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Output: positive
There is an expression of happiness in this tweet text, hence we can say it's positive.
New input case for you: @nerdist You can always send me the spare. ATT works here.
Output: | positive | 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Output: positive
There is an expression of happiness in this tweet text, hence we can say it's positive.
New input case for you: Hey I'm not lame!
Output: | negative | 1 | NIv2 | task195_sentiment140_classification | fs_opt |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Solution: positive
Explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.
Problem: hates going to bed after 1am
Solution: | negative | 4 | NIv2 | task195_sentiment140_classification | fs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: Had a lovely time having big adventures in Sydney, shame I'm back at work
Example Output: negative
Example Input: Has started growing vegetables and fruit! feeling proud of myself! also slowly on the mend! good times!
Example Output: positive
Example Input: @PrinceDavey aww no invite?? lol jk. coolness for the day off!
Example Output: | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
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