Bipolar words extraction using Sentiment Analysis: A Study

In the era of Artificial Intelligence, there are many research works that came up with new techniques and methods for performing Sentiment Analysis. We used to provide our reviews, sentiments about particular topic. There are several opinions which show both positive and negative polarities. Aspect based sentiment analysis is a technique which works specifically on Aspects of the data to categorize it in the terms of Positive, Negative and Neutral sentiments. In this paper, we analyzed the work that has been done on extracting bipolar words from the data and how effective the results presented using various techniques in different specializations. The discussion of existing methods for bipolar words extraction and scope of improvement in the bipolar words extraction has also been done in this paper.