Published August 6, 2020
| Version V1
Dataset
Open
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
Creators
- 1. Indian Institute of Information Technology, Sri City
- 2. University of Houston, TX
- 3. IIIT Delhi
- 4. NTNU, Norway
- 5. Wipro AI Labs, India
Description
There are 2 sub-tasks: sentiment analysis for Spanglish (Spanish-English) and for Hinglish (Hindi-English).
The sentiment classes are Positive, negative, neutral.
Hinglish dataset has 20k instances.
Spanglish dataset has ~19k instances.
Files
Semeval_2020_task9_data.zip
Files
(2.8 MB)
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