Published August 6, 2020 | Version V1
Dataset Open

SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Authors/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. 

Website: https://ritual-uh.github.io/sentimix2020/

Files

Semeval_2020_task9_data.zip

Files (2.8 MB)

Name Size
md5:4d93553c213b3a966b6d55b7a7c03be7
2.8 MB Preview Download