Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction
Abhinav Reddy Appidi, Vamshi Krishna Srirangam, Darsi Suhas, Manish Shrivastava · 2020
Emotion prediction is a critical task in the field of Natural Language Processing (NLP).There has been a significant amount of work done in emotion prediction for resource-rich languages.There has been work done on code-mixed social media corpus but not on emotion prediction of Kannada-English code-mixed Twitter data.In this paper, we analyze the problem of emotion prediction on corpus obtained from code-mixed Kannada-English extracted from Twitter annotated with their respective 'Emotion' for each tweet.We experimented with machine learning prediction models using features like Character N-Grams, Word N-Grams, Repetitive characters, and others on SVM and LSTM on our corpus, which resulted in an accuracy of 30% and 32%, respectively.