Recommendation System in E-Commerce using Sentiment Analysis
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : R. Lydia Priyadharsini, M. Lovelin Ponn Felciah
|DOI : 10.14445/22315381/IJETT-V49P269|
R. Lydia Priyadharsini, M. Lovelin Ponn Felciah "Recommendation System in E-Commerce using Sentiment Analysis", International Journal of Engineering Trends and Technology (IJETT), V49(7),445-450 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Sentiment analysis is one of the current research topics in the field of text mining. Mining sentiment from natural language is a very difficult task. Sentiment analysis provides important information for decision making in various domains. Various sentiment detection techniques are available but may not render most accurate results in all perspective. In this paper, sentiment of users regarding the services provided by E-shopping websites is considered. The opinion or sentiment of the people is implied by reviews, ratings and emoticons. The products which have got positive feedback from the previous users are recommended for the current users. For this stochastic learning algorithm which analyzes various feedbacks related to the services is used. The opinion is classified as negative, positive and neutral. Analysis takes place based on classification. The proposed system will find out fake reviews about a product with the help of MAC address along with review posting patterns. User will login to the system by giving the username and password and will view various products and can give review about the product. To find out the review is fake or genuine, the MAC address of the system which is unique is checked by the proposed system. Hence fake reviews are not accepted.
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Text Mining, Sentiment Analysis, Ratings, Reviews, Emoticons, Recommend, Fake reviews.