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dc.contributor.authorNEGI, RAJINDER SINGH-
dc.date.accessioned2022-02-21T08:38:16Z-
dc.date.available2022-02-21T08:38:16Z-
dc.date.issued2021-06-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/18874-
dc.description.abstractSocial Media has become an important platform for expressing and consuming information. A customer opinion is a product and service who buy and used or had experience with that and it is Most Important for customer feedback on various product and service. Here our aim is build a Recommendation System using Natural Languages processing on Twitter Data. Each Tweet we will do required analysis on particular tweet independently. By Looking at Single Sentence (Tweets) we could not find the Sentiment of whole sentence for this need to use deep learning Neural Network for Required Analysis. Word Sentiment is useful but it cannot express the meaning of longer phrases. Therefore Sentiment detection required a richer supervised learning and more powerful model of composition.en_US
dc.language.isoenen_US
dc.publisherDELHI TECHNOLOGICAL UNIVERSITYen_US
dc.relation.ispartofseriesTD - 5425;-
dc.subjectTWITTER DATAen_US
dc.subjectCUSTOMER FEEDBACKen_US
dc.subjectNLPen_US
dc.subjectLEARNING NEURAL NETWORKen_US
dc.titleSENTIMENT ANALYSIS AND OPINION MINING USING NLPen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Information Technology

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