Sentiment analysis a deep survey on methods and approaches

Bhati, Reena

dc.contributor.author	Bhati, Reena
dc.date.accessioned	2020-09-08T07:06:17Z
dc.date.available	2020-09-08T07:06:17Z
dc.date.issued	2020
dc.identifier.citation	International Journal of Disaster Recovery and Business Continuity	en_US
dc.identifier.issn	2005-4289
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/9650
dc.description.abstract	In this paper we present an in-depth analysis of sentiment. It also offers a survey and discusses the latest papers and techniques relevant to strategies for lexicon-based, conventional machine-based learning, deep learning-based, & hybrid sentiment study. The SA is used to forecast & examine sentiment polarities. The purpose of this research work is to study the existing systems which focus on sentiment analysis. Also the expansion of an integrated system for information discovery various social media, which permits the survey of person’s individual opinion towards the any incident or things related to that person or towards society with the help of data analysis techniques	en_US
dc.language.iso	en	en_US
dc.publisher	Science & Engineering Research Support society	en_US
dc.subject	Sentiment Analysis	en_US
dc.subject	Natural Language Processing (NLP)	en_US
dc.subject	Lexicon based methods	en_US
dc.title	Sentiment analysis a deep survey on methods and approaches	en_US
dc.type	Article	en_US