Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9918
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dc.contributor.authorSharma, Vipul-
dc.contributor.authorSingh, Hari [Guided by]-
dc.date.accessioned2023-09-11T04:38:55Z-
dc.date.available2023-09-11T04:38:55Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9918-
dc.descriptionEnrolment No. 191266en_US
dc.description.abstractThe world is fast growing place, and so do the thoughts of people living in it. In this very fast growing world, there are a lot of ways available for people to express their thoughts and views on anything and everything. They share their thoughts in conversations, messages, letters, diaries, and on social media platforms like facebook, instagram, twitter, koo etc. There are a billion number of people in the world who use social media platforms to use as a medium to express their thoughts be it any kind of thought, for example; happiness, sadness, anger, hate, trolling some celebrity or a political leader, sharing some news, sharing something insightful, giving updates about their life, criticising, reviewing a product or anything else. Here we are going to talk about the tweets by people on twitter.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectNatural language processingen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectNeural networken_US
dc.subjectTwitteren_US
dc.subjectInstagramen_US
dc.titleFeature Extraction Based Sentiment Analysisen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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