ANALYSIS ON USERS TEXTUAL OPINION TO PREDICT THEIR ACTION

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DC Field	Value	Language
dc.contributor.author	G, Anitha	-
dc.contributor.author	M, Sownthariya	-
dc.date.accessioned	2020-09-28T06:23:52Z	-
dc.date.available	2020-09-28T06:23:52Z	-
dc.date.issued	2019-11	-
dc.identifier.issn	0374-8588	-
dc.identifier.uri	http://gujaratresearchsociety.in/index.php/JGRS/article/view/520	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1787	-
dc.description.abstract	Nowadays most of the E-Commerce websites are using opinion mining to understand the trends and problems with their products. Opinion mining is performed to analyze the natural language and to identify the emotions expressed by the users. It is useful in product recommendations. The idea behind the opinion mining uses text mining techniques such as NLP (Natural Language Processing) and the polarity of the reviews given for a particular product is predicted using a Lexicon-Based Dictionary approach. The achieved polarity will be used to predict whether the users will recommend the product or not to new users using Naïve Bayes classifier in machine learning.	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of the Gujarat Research Society	en_US
dc.subject	Opinion mining	en_US
dc.subject	Text mining	en_US
dc.subject	NLP	en_US
dc.subject	Polarity	en_US
dc.subject	Lexicon-Based Dictionary	en_US
dc.subject	Naïve bayes	en_US
dc.subject	Machine learning	en_US
dc.title	ANALYSIS ON USERS TEXTUAL OPINION TO PREDICT THEIR ACTION	en_US
dc.type	Article	en_US
Appears in Collections:	National Journals

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