DSpace JSPUI
DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://repository.iiitd.edu.in/xmlui/handle/123456789/790| Title: | Sentiment analysis of news and social-media for creating trading strategies |
| Authors: | Kataria, Tushar Agarwal, Vasu Chakraborty, Tanmoy (Advisor) |
| Keywords: | Natural Language Processing Stock Market |
| Issue Date: | 26-Nov-2018 |
| Publisher: | IIITD-Delhi |
| 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. |
| URI: | http://repository.iiitd.edu.in/xmlui/handle/123456789/790 |
| Appears in Collections: | Year-2018 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2015113_VASU.pdf Restricted Access | 434.28 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.