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Sentiment analysis of news and social-media for creating trading strategies
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| dc.contributor.author | Kataria, Tushar | |
| dc.contributor.author | Agarwal, Vasu | |
| dc.contributor.author | Chakraborty, Tanmoy (Advisor) | |
| dc.date.accessioned | 2019-10-14T10:05:43Z | |
| dc.date.available | 2019-10-14T10:05:43Z | |
| dc.date.issued | 2018-11-26 | |
| dc.identifier.uri | http://repository.iiitd.edu.in/xmlui/handle/123456789/790 | |
| dc.description.abstract | The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing literature and also create a new dataset for the Indian market. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IIITD-Delhi | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Stock Market | en_US |
| dc.title | Sentiment analysis of news and social-media for creating trading strategies | en_US |
| dc.type | Other | en_US |
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Year-2018 [54]