Sentiment analysis of code-mixed tweets crawled from social media. Each tweet is classified into one of the three polarity classes - Positive, Negative, Neutral.
Code-mixing or code-switching refers to the mixing of different languages in a same conversation or utterance.
Publication
Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, and Amitava Das. 2020. SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 774–790, Barcelona (online). International Committee for Computational Linguistics.
Competition
Language
Spanish
English
NLP topic
Abstract task
Dataset
Year
2020
Publication link
Ranking metric
F1
Task results
System | F1 Sort ascending |
---|---|
LiangZhao | 0.8060 |
rachel | 0.7760 |
asking28 | 0.7560 |
dpalominop | 0.7550 |
kongjun | 0.7530 |