Providing a Framework of Opinion Mining for Gaining Competitive Intelligence at the Product Level

Abstract

Most people use social media to express their feelings and opinions about various issues. This great volume of opinions can be used as a rich source of online information by companies and organizations to understand their customer opinions and their competitors in the market and improve business processes.A survey related to opinion mining shows that most of the works performed in the technical study of the opinion mining process have been studied to increase its accuracy and have less practical use of the opinion mining process in the organization's competitive intelligence process.

In this paper, in the first phase, through a combination of different opinion mining techniques, user opinions from twitter are collected and analyzed on the two popular cellphone products on the market, and polarity of opinions about different features of each product is extracted. In the second phase, the output obtained is used as input to the generated data for use in the competitive intelligence cycle, identifying the strengths and weaknesses of the products, performing competitive analysis and SWOT analysis at the product level, and the organization's competitive strategies.  The results of this study provide a real insight into the organization itself, competitors, product strengths and weaknesses of the business environment, and enable organizations to respond quickly to market changes and customers` demands.

Keywords: Competitive intelligence, Sentiment analysis, Opinion mining, SWOT analysis.