Abstract: Online reviews provided for a product intends for the web users to give a thought on to purchase the product instantly. Such deceptive reviews tend to be positive, negative or neutral in nature. Analyzing such reviews have attracted commercial interest in the recent years and provide a strong platform for mere future, due to online user behaviour. Reviews expressed by websites are in the form of rating, pros and cons format or in free flow style. It has come become quite hard to make decisions effectively due to such complex representations. This study focuses its attention on to provide a system to measure the usefulness of reviews across different timeline. We have chosen reviews from commercial websites for a particular product based on the reviews provided by web users along with time line. The experimental investigation seems to derive out the significant deviation in the usefulness as compared to the reviews presented initially.
Periakaruppan Sudhakaran, Shanmugasundaram Hariharan and Joan Lu, 2016. A Framework Investigating the Online User Reviews to Measure the Biasness for Sentiment Analysis. Asian Journal of Information Technology, 15: 1890-1898.