JudithJeyafreeda@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of YouTube Comments for Dravidian Languages.
Judith Jeyafreeda Andrew · Research Explorer (The University of Manchester) · 2020
Sentiment Analysis is a process of identifying the tone of a given sentiment/opinion.It focuses on the polarity of the sentiments -positive, negative or neutral.In this paper, the goal is to classify sentiments from a dataset of comments/posts into pre-defined classes belonging to two code-mixed Dravidian Languages (code mixed Malayalam-English and code mixed Tamil-English) collected from social media.A new gold standard corpus for sentiment analysis for code-mixed Dravidian languages (Malayalam-English and Tamil-English) is used in this paper.The classification is performed as a multi-class classification problem.For this purpose, several well known machine learning models have been used.Based on the accuracy of each model obtained from the development set, the best model is chosen for prediction.