Ranking products through interpretation of blogs based on users' query

In this work we look into analyzing blogs to classify products according to users' query. Blogs can be found over the internet where buyers share their opinions on different products that are available in the market. Such pages may prove to be good guides for a prospective buyer. However, going through a large number of blogs and to convert their opinions into a meaningful decision is often difficult. In the present work we develop a scheme for analyzing blogs for the aforesaid purpose. For this work we restrict ourselves to the blogs related to computers only, i.e. laptops, netbooks, and desktops. Our initial results of experiment are found to be very encouraging.