Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches

Understand

Sentiment Analysis for Indian Languages (SAIL)-Code Mixed tools contest aimed at identifying the sentence level sentiment polarity of the code-mixed dataset of Indian languages pairs (Hi-En, Ben-Hi-En).

• Hi-En dataset is henceforth referred to as HI-EN and Ben-Hi-En dataset as BN-EN respectively.
• For this, we submitted four models for sentiment analysis of code-mixed HI-EN and BN-EN datasets.
• The first model was an ensemble voting classifier consisting of three classifiers - linear SVM, logistic regression and random forests while the second one was a linear SVM.