Competition

SemEval-2017 Task 4D English, Sentiment Analysis in Twitter

Organized by seirasto - Current server time: March 30, 2020, 11:16 a.m. UTC

Previous

Testing
Jan. 23, 2017, midnight UTC

Current

Development
Aug. 1, 2016, midnight UTC

End

Competition Ends
Jan. 30, 2017, 11:59 p.m. UTC

Semeval 2017 Task 4: Sentiment Analysis in Twitter

Subtask D: Tweet Quantification

Given a set of tweets about a given topic, estimate the distribution of the tweets across a two-point scale: the "Positive" and "Negative" classes

Evaluation Criteria

For Subtask D, we will keep Kullback-Leibler Divergence (the measure used in 2016) as the main measure, but we also add a secondary measure, namely, Pearson Divergence.

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. 23, 2017, midnight

Competition Ends

Jan. 30, 2017, 11:59 p.m.

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# Username Score
1 THU_HCSI_IDU 0.02900
2 mcliche 0.03100
3 bakrianoo 0.06500