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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.
[Q]: [Link] <--- likes kitty pussy call someone bahaha J/K or am i ask him ?>
[A]: negative
[Q]: @hanlie Thank you, wait for the next one
[A]: pos... | 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.
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 |
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.
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!
negative
@b0j3 thats why the questi... | negative
| 0 | 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: Ugh! Have the hiccups
Output: negative
Input: Consider Input: omg Legal test 2morrow!! Epic Fail!!
Output: negative
Input: Con... | Output: negative
| 2 | 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 |
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 |
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: think i have swine flu
SOLUTION: negative
PROBLEM: Dammit. They won't let me take photos #blur
SOLUTION: negative
PROBLEM: gra... | 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]: 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]: Monda... | 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.
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.
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 |
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:
This one girl will not stop staring at me! I dont have any friends with me to do a booger check Ill just chalk it up to her being rude... | positive
| 9 | 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.
[EX Q]: when will the twiiter episode be shown?
[EX A]: positive
[EX Q]: @steph_davies Yeah, it would be so embarrassing if it just came to waste. But then... | 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:
Brandis cooking me breakfast , about to read the word abit. love someone today, let's lose our agendas .
answer:
positive
question:
... | 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.
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.
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 |
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: I'm irritated..... As always..... When I get off of a flight..... It didn't help that the turbulance were crazy. I need a nap...
S... | positive
| 8 | 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 |
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: i think my mac is coming to the end of its life
Output: negative
Input: Consider Input: Home from the beach.
Output: negative
... | 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... | 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: Seems crazy that it is this sunny! I'm sitting here in my room chillin' & revisin'
Example Output: positive
Example Input: At 6 Flags Wh... | positive
| 3 | 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 |
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: @FaketragedyCom I'm good too =] Sick of work though, want a new job.
Example Output: negative
Example Input: Watching a movie and enjoying r... | positive
| 3 | 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 |
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.
@ashleytisdale [Link] - Awesome! The best of luck to you Ashley!
positive
I'm irritated..... As always..... When I get off of a flight..... It didn't hel... | 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:
Taking the day off and doing absolutely nothing Studying begins on the morrow
Ex Output:
positive
Ex Input:
At work
Ex Output:
negative
E... | 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.
[Q]: @Ellie_mcgrath91 im coming the 8/8-16/8.. hope it will come up a gig or something xx
[A]: negative
[Q]: so happy
[A]: positive
[Q]: @Timberwolf123... | 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: So excited about my touch pro but so not excited about going to work tomorrow....
A: negative
****
Q: Watching VH1 with my girlfriend. "Brooke Know... | 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 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.
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.
well i learnt nothing missed some of it
negative
Tweetie is basically useless with a flakey connection
negative
Being Laaaazzzzyyyy. I don't want to stu... | negative
| 0 | 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.
[EX Q]: Very upset ...
[EX A]: negative
[EX Q]: i need some new sunglassessssss. i lose all of mine, fuck.
[EX A]: negative
[EX Q]: "The 10 Men a U... | positive
| 6 | 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.
--------
Question: Home from the beach.
Answer: negative
Question: @Meggyjo90 oh no! not good.
Answer: negative
Question: @ZachMoore1 I thought I was... | negative
| 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.
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 |
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:
miss nana...she now is in heaven..her beautiful soul will forever shine down on everyone
Ex Output:
negative
Ex Input:
@CHALISAVIRAVAN followin... | 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.
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 |
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:
I am going to be 31 on June 23, and am crying over the fact that my goldfish is dying.
answer:
negative
question:
@xboxe3 winter mi... | 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.
--------
Question: @riannesketch aha, yay! i was always a duncan girl ;D omgosh, we're just too cool ;P x
Answer: positive
Question: How was it possible t... | 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:
@newmoonmovie yeah, the site's not working for me i can't access it
answer:
negative
question:
may the forth be with you
answer:
po... | 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.
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.
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.
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:
the weekends almost over...back to Montgomery
answer:
negative
question:
@FrankieTheSats @unahealy are you performing there today? i... | negative
| 9 | 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 |
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.
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.
Input: Consider Input: Watching Ace Ventura He is a genious, officially !
Output: positive
Input: Consider Input: nothing
Output: positive
Input: Con... | Output: negative
| 2 | 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 |
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.
[EX Q]: @peech____ I wants to see terminator me go soon!
[EX A]: positive
[EX Q]: At work
[EX A]: negative
[EX Q]: it is far too windy to go float aroun... | 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.
--------
Question: Morning my tweebies. I made it to the office
Answer: positive
Question: How time flys...this is it - TWEAT #500...back to business now ... | 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.
Adam said I run like Carl Fredrickson aka the old man from Up
negative
omg Legal test 2morrow!! Epic Fail!!
negative
oh noes! no pilates tomorrow damn y... | 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.
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 Q]: I feel like a right tourist snapping away, here's towerbridge!!! [Link]
[EX A]: positive
[EX Q]: Had a lovely time having big adventures in Sydney,... | 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:
sooo sleepy... stayed up watchin 2 and a half man
answer:
positive
question:
@KidNamedHuddy I'm fly with projects too.
answer:
posi... | 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: listening to music
SOLUTION: positive
PROBLEM: Just graduated!!! Now i'm having a ball @ Flanigans with the family!!! I Love them... | 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: @Ldenemark I dont think so...
SOLUTION: positive
PROBLEM: isss doing some workk lol borning
SOLUTION: positive
PROBLEM: caps w... | positive
| 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: thinking of a new real estate company name for my client...need to go to the loo first... my thinking chair
SOLUTION: positive
PR... | 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]: made a summer time playlist on the blog [Link] yay summer! #musicmonday
[A]: positive
[Q]: well i learnt nothing missed some of it
[A]: negative
... | 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.
Q: thinking of a new real estate company name for my client...need to go to the loo first... my thinking chair
A: positive
****
Q: going to read huck finnn... | 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: @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 |
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 |
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:
Home from the beach.
answer:
negative
question:
Not fair how during sale season fat ppl always get the good stuff
answer:
negative... | 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.
Input: Consider Input: @morethanthat your so cool text me anytime <3
Output: positive
Input: Consider Input: @weaverh how do you think I feel? My clos... | 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... | 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: @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.
[Q]: @hilly214 HIHIHI HIL! I will post more for you! Flats by Marc Jacobs
[A]: positive
[Q]: Ugh! Have the hiccups
[A]: negative
[Q]: Should not have h... | negative
| 5 | 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 |
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.
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 |
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: I think I need to to take a break from drinking...at least until Tuesday that is!!!
Example Output: positive
Example Input: @JRBounce heeeee... | 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.
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... | negative | 6 | 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.
[EX Q]: @Iam_MonieMay yea girl!!! I'm just going to pick something up though, and then I'm coming right back I'm still waiting for yal to come !!
[EX A]: ne... | 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.
--------
Question: NOBODY LOVES ME
Answer: negative
Question: Going to school ugggggggggg.........hangovers.
Answer: negative
Question: Jealous that m... | 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.
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.
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.
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.
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.
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.
--------
Question: Awake with upset stomach
Answer: negative
Question: if you're into things spiritual/pagan/wiccan, follow my alter-ego @mysticknyght1 fo... | 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.
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.
Input: Consider 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... | 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.
Input: Consider Input: @artfanatic411 I agree, but they always do~ when things are going really smooth, they decide its maintenance time
Output: positiv... | Output: positive
| 2 | 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:
Happy mother's day!
answer:
positive
question:
@channon3, @jleigh82, and I possibly playing beach volleyball this evening. But I jus... | 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.
Input: Consider Input: @macrinaivazian I'm so happy for you! Can't wait to see your place and eat some yummy pizza
Output: positive
Input: Consider Input... | 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.
@KarmaExists give me a good reason to follow?? hehehe
positive
@DisGraceMcR GRACE THE THEORY IS COMPLETELY DIFFERENT
negative
@dreams_ Wicked! When's yo... | 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.
going home! i soooo love the rain.
positive
ok so weve just left holming beam, walking toward south hessary, tasteless goo for breakfast, yum
positive
@en... | positive
| 0 | NIv2 | task195_sentiment140_classification | fs_opt |
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