Identifying and Ranking Product Aspects based on Consumer reviews
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 1
Abstract
The Web has become an excellent source for gathering consumer opinions. For Product Plentiful consumer reviews of products are now available on the internet. User reviews and opinions are very useful for both firms and users. The web has becoming more comfortable for users to reviews. Hence the number of reviews that a product receives grows rapidly. In this way a large amount of reviews of users are collected on the Web that needs to be explored, analyze and organized for better decision making. The reviews are often making difficulties in information gathering and knowledge acquisition. Hence propose a method to ranking the product aspects based on consumer reviews by applying Stanford parser technique and determine consumer’s opinions on these aspects via a sentiment classifier. Finally every product aspects to be ranked based on the consumer opinions. So for each and every product the user is able to clearly see the positive opinion and negative opinion of each product in the minds of consumers in terms of various product features. This work is valuable to both potential customers and product manufacturers.
Authors and Affiliations
R. Suganya
Keywords
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