| Type of Material: | Thesis |
| Title: | Augmenting social media sentiment analysis to improve stock market prediction using deep learning |
| Researcher: | Mehta, Pooja |
| Guide: | Pandya, Sharnil |
| Department: | Department of Computer Engineering |
| Publisher: | Dayalbagh Educational Institute(Deemed University), Agra |
| Place: | Agra |
| Year: | 2022 |
| Language: | English |
| Subject: | Social media sentiment | Stock market | Deep Learning | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Engineering, Dayalbagh Educational Institute(Deemed University), Agra, Agra; 2022 |
| Fulltext: | Shodhganga |
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| 001 | 452147 | |
| 003 | IN-AhILN | |
| 005 | 2024-02-06 16:31:57 | |
| 008 | __ | 240206t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_452147 |
| 040 | __ | |dIN-AhILN|aDBEI_282005 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aMehta, Pooja |
| 110 | __ | |aDepartment of Computer Engineering|0U-0507|dAgra|bDayalbagh Educational Institute(Deemed University), Agra|ein |
| 245 | __ | |aAugmenting social media sentiment analysis to improve stock market prediction using deep learning |
| 260 | __ | |aAgra|c2022|bDayalbagh Educational Institute(Deemed University), Agra |
| 300 | __ | |a100 p.|dCD |
| 502 | __ | |cDepartment of Computer Engineering, Dayalbagh Educational Institute(Deemed University), Agra, Agra|d2022|bPhD |
| 518 | __ | |oDate of Award|d2022 |
| 518 | __ | |oDate of Registration|d2014 |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aSocial media sentiment |
| 653 | __ | |aStock market |
| 653 | __ | |aDeep Learning |
| 700 | __ | |aPandya, Sharnil|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/426266|yShodhganga |
| 905 | __ | |afromsg |
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