Support #290

Label 7248 tweets

Added by Guangxia Li over 1 year ago. Updated over 1 year ago.

Status:Closed Start date:2010-06-18
Priority:Normal Due date:
Assignee:Luojun Qiu % Done:

100%
Category:- Spent time: 20.00 hours
Target version:- Estimated time:20.00 hours

Description

The dataset to be labeled contains 6 users' tweet. The user names are:

elizadushku
JamesKysonLee
jessetyler
JimGaffigan
peterfacinelli
1capplegate

Please help to label these 7248 tweets into three categories (positive, negative, neutral) according to your judgment.

The emotions of some tweets are really ambiguous. When labeling, please relay on the literal meaning only and speed up the labeling process.

The automatically generated labels are also included in the dataset for your reference.

When you encounter a tweet containing emoticons, please label the tweet according to the emoticon's category.

six_user_tweet_labeled.backup (474.8 kB) Luojun Qiu, 2010-06-24 10:03

History

#1
Updated by Luojun Qiu over 1 year ago

  • % Done changed from 0 to 30

#2
Updated by Luojun Qiu over 1 year ago

  • % Done changed from 30 to 60

#3
Updated by Luojun Qiu over 1 year ago

#4
Updated by Kuiyu Chang over 1 year ago

  • Status changed from New to Closed

closing issue, student paid.

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