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DC Field | Value | Language |
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dc.contributor.author | Sharma, Vipul | - |
dc.contributor.author | Singh, Hari [Guided by] | - |
dc.date.accessioned | 2023-09-11T04:38:55Z | - |
dc.date.available | 2023-09-11T04:38:55Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9918 | - |
dc.description | Enrolment No. 191266 | en_US |
dc.description.abstract | The 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.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Natural language processing | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Neural network | en_US |
dc.subject | en_US | |
dc.subject | en_US | |
dc.title | Feature Extraction Based Sentiment Analysis | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Feature Extraction Based Sentiment Analysis.pdf | 4.45 MB | Adobe PDF | View/Open |
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