Application of Associative Network Theory to Mine Relevant Aspect Terms from Customer Reviews

The cyberspace has matured into an abundant origin of knowledge for our trivial and relevant queries pertaining any field or domain of interest. Consumers buy variety of products online and post the pros and cons emerging from it but it is strenuous for one to view so much data and come to conclusion whether to purchase product X or product Y. Products we see online have thousands of reviews posted for them which makes it troublesome for consumer's to make a civil verdict of what to purchase. The aim of this study is to mine from so much data the most significant characteristics being discussed about the product or service making the information posted more fruitful to the larger audience by making use of associative network theory. The analysis obtained provide a good source of aspects to be worked upon to the marketing associations for present and future well being.