An Improved Approach for Aspect Level Sentiment Analysis using Bipolar words Extraction

Abstract

Different organizations utilized different market strategies to launch their products or items online depending upon the kind of coverage the organizations require for a product. The world is now digitally connected to provide broad level channels for promotion and advertisement of the products. Social media, search engine optimization, social networking, email etc. are some of the channels or methods used for online marketing. The key element for online promotion of any business is to reach to the customers to understand their needs and views on products. The best practice to understand their buying behavior is to analyze that how much time one spends on reading, searching, prioritizing a product and their reviews. For producers and developers of a product, sentiment analysis can help them by providing behavior of customer towards the product using which several improvements and selling strategy of a product can be done. The work presented here performs first the traditional Aspect Level sentiment analysis and then Bipolar Adjusted Aspect Level Sentiment Analysis to compare the results of both.