Volume 3 Issue 1



Abstract : In recent year,online reviews have become the most important resource of customer opinion. Existing research has been focused on extraction,classification and summarization of opinion from reviews in websites,forums and blogs. Nowadays consumer can obtain information for products and service from online review resources,which can hel p them make decision. The social tools provided by the content sharing applications allow online user to interact,to express their opinions and to read opinions from other users. But the spammers provide comments which are written intentionally to mislead users by redirecting them to web sites to increase their rating and to promote products less known on the market. Reading spam comments is a bad experience and a waste of time for most of the online users but can also be harming and cause damage to the re ader. Several researchers in this field focused on only spam or non - spam comments. But,our goal is to detect comments which are likely to represent spam considering some indicators like a discontinuous flow of text,inadequate and vulgar language or not r elated to the specific context will helps in giving correct feedback of various customer s reviews about given product. Mainly we have observed that previous work is focused on extraction,classification and summarization of opinion and checking of spam and non - spam. But,proposed system aims to find irregular or discontinuous text flow,vulgar language or not related to specific context and check similarity between the comments.

Pages :

Downloads : 1649

Publication Date :

Modified Date : 2016-01-20

Cite/Export :

Chaitanya Kale , Dadasaheb Jadhav , Tushar Pawar , "SPAM REVIEW DETECTION USING NATURAL LANGUAGE PROCESSING TECHNIQUES", IJIERT - International Journal of Innovations in Engineering Research and Technology, Volume 3 Issue 1, ISSN : 2394-3696, Page No.