Code mixed sentiment analysis

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
Sentiment Analysis of Code-Mixed Tweets
Language
Spanish
English
NLP topic
sentiment analysis
Abstract task
Classification
Dataset
SentiMix-Spanglish
Year
2020
Publication link
https://aclanthology.org/2020…
Ranking metric
F1

Task results

System F1
LiangZhao 0.8060
rachel 0.7760
asking28 0.7560
dpalominop 0.7550
kongjun 0.7530

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.