NITP AI NLP@Dravidian CodeMix FIRE2020: A Hybrid CNN and Bi LSTM Network for Sentiment Analysis of Dravidian Code Mixed Social Media Posts
The sentiment analysis is one of the important tasks in the field of natural language processing. Many works have been proposed recently by the research community to find the sentiment from English social media posts. Nevertheless, very little work has been proposed to find sentiments from the Dravidian code mixed Malayalam and Tamil social media comments. In this work, we have proposed two hybrid neural network models based on Convolutional Neural Network (CNN) and Bidirectional Long ShortTerm memory (Bi LSTM) network. We utilized both character and word embedding of the YouTube comments to learn robust features from the text. The proposed hybrid CNN CNN network achieved a promising weighted F1 score of 0.69 for Malayalam code mixed text, whereas the CNN Bi LSTM network achieved a promising weighted F1 score of 0.61 for Tamil code mixed text.
FIRE