Competition

SemEval-2017 Task 4A Arabic, Sentiment Analysis in Twitter

Organized by seirasto - Current server time: Jan. 18, 2020, 8:59 a.m. UTC

Previous

Testing
Jan. 16, 2017, midnight UTC

Current

Development
Aug. 1, 2016, midnight UTC

End

Competition Ends
Jan. 22, 2017, 11:59 p.m. UTC

Semeval 2017 Task 4: Sentiment Analysis in Twitter

Subtask A: Message Polarity Classification

Given a message, classify whether the message is of positive, negative, or neutral sentiment.

Evaluation Criteria

We will replace the measure used in 2016 (F1 averaged across the positives and the negatives) with macro-averaged recall (recall averaged across the three classes), since the latter has better theoretical properties than the former, and since this provides better consistency with Subtask B

Terms and Conditions

Please note that by downloading the Twitter data you agree to abide by the Twitter terms of service (https://twitter.com/tos)

Development

Start: Aug. 1, 2016, midnight

Testing

Start: Jan. 16, 2017, midnight

Competition Ends

Jan. 22, 2017, 11:59 p.m.

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# Username Score
1 SamB 0.57100
2 mhjabreel 0.54500
3 ramybaly 0.43400