FDSS: Fuzzy Based Decision Support System for Aspect Based Sentiment Analysis in Big Data

Abstract

Sentiment analysis (SA) is an pioneering computing technology to advance the decision making process. Social media is used to bind the people by sharing their opinions. Opinion is in the free form of reviews or comments on micro-blogging sites such as online discussion forums, Twitter, Facebook and other different types of social networking sites. Fuzzy logic is one of the multi-valued logic. It considers the reasoning which is closer to the actual in lieu with fixed and exact. This research integrates fuzzy system to make business decisions in the proposed Fuzzy based Decision Support System (FDSS). The FDSS system uses the results of the analysis of the online sentiments and makes decisions based on some fuzzy rules. The fuzzy rules are defined to aid in the decision making process by classifying the sentiments of the aspects of a product. The Twitter mobile product dataset is used for experimental analysis and results show that the proposed FDSS system produces better results for decision making.