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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 ... | 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 ab... | 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 exp... | 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
ta... | 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 e... | 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. Ain... | 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
@JamesDRe... | 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 i... | 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
***... | 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 h... | 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.... | 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... | 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 ... | 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 catc... | 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 ... | 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 ... | 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 ... | 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
... | 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... | 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... | 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 expres... | 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.
SOLUTIO... | 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 loo... | 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
SOLU... | 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 s... | 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 expres... | 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 expres... | 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 yah... | 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 tomor... | 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 @big... | 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!... | 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 happin... | 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:
... | 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 expres... | 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 ab... | 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 ... | 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 happin... | 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 abou... | 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 co... | 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... | 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: posi... | 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
... | 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 happin... | 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 ... | 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 h... | 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 lov... | 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 expres... | 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 wh... | 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 winte... | 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... | 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
[... | 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... | 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 siitu... | 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 resu... | 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 exp... | 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]... | 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
Explan... | 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 ... | 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 an... | 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 expres... | 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... | 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 (... | 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 jus... | 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 h... | 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... | 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 exp... | 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... | 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 wa... | 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
Explan... | 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: ne... | 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!... | 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 expres... | 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 h... | 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 exp... | 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!!... | 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... | 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 hurt... | 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 happin... | 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: midterm... | 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
Explan... | 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... | 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: posi... | 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... | 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]: @ge... | 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: posi... | 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 ab... | 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 t... | 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!... | 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]: @chan... | 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 th... | 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 exp... | 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 fl... | 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 h... | 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 enjoy... | 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 exp... | 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 enjoy... | 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 enjoy... | 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
Explan... | 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 vegeta... | negative
| 3 | NIv2 | task195_sentiment140_classification | fs_opt |
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