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dc.contributor.authorKHERA, ANUPAM-
dc.date.accessioned2022-03-11T04:35:52Z-
dc.date.available2022-03-11T04:35:52Z-
dc.date.issued2021-06-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/19005-
dc.description.abstractSentiment analysis is a context based mining of text which extract and identifies subjective information from text or sentence provided. It is the most common text classification technique that analyse incoming text and interprets if the given data produces positive, negative or neutral sentiment. Sentiment analysis can help in understanding the data by using several learning algorithms which were earlier only understood by humans. Different organisation can grow their businesses by understanding behind their brands, products or services. Identifying sentiments of customer about products and services is a game changing strategy if company wants to take an edge over its competitors.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-5583;-
dc.subjectSENTIMENT ANALYSISen_US
dc.subjectDEEP NEURAL NETWORKSen_US
dc.titleSENTIMENT ANALYSIS USING DEEP NEURAL NETWORKSen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Engineering

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