Open AccessA New Feature based Scoring Technique to Discover Sentiments Present in the Online Product
Author(s) -
Mrs. Bhuvaneswari*,
S. Ravichandran
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2675.1081219
Subject(s) - sentiment analysis , product (mathematics) , categorization , computer science , social media , feature (linguistics) , quality (philosophy) , the internet , service (business) , world wide web , data science , internet privacy , advertising , business , marketing , artificial intelligence , linguistics , philosophy , geometry , mathematics , epistemology
The increasing usage of internet, online stores and social media has provided the users to express their opinion, attitude and views without any reluctance and fear on the World Wide Web. These opinions expressed by the users can be related to a product or service as well as any global issues. The colossal growth of the web technology has offered the consumers to know more about the products they intend to buy from the existing customer’s reviews. This paper focuses on analyzing the opinion by splitting the positive and negative opinion and then guides the user about the ground truth regarding the performance and quality of the product. The important idea here is to categorize the important features of the product and then accordingly provide the feature wise computation instead of roughly promoting a product as good or bad.