Topic Based Sentiment Analysis Using Deep Learning

Sharath T. S.; Shubhangi Tandon

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arXiv · 1710.10498

Topic Based Sentiment Analysis Using Deep Learning

Sharath T. S.·Shubhangi Tandon

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Abstract

In this paper , we tackle Sentiment Analysis conditioned on a Topic in Twitter data using Deep Learning . We propose a 2-tier approach : In the first phase we create our own Word Embeddings and see that they do perform better than state-of-the-art embeddings when used with standard classifiers. We then perform inference on these embeddings to learn more about a word with respect to all the topics being considered, and also the top n-influencing words for each topic. In the second phase we use these embeddings to predict the sentiment of the tweet with respect to a given topic, and all other topics under discussion.

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Sharath T. S., Shubhangi Tandon. 2017-10-28. Topic Based Sentiment Analysis Using Deep Learning. https://arxiv.org/abs/1710.10498

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