Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10234
Title: | Video verse |
Authors: | Nadda, Vishal kanji, Rakesh [Guided by] |
Keywords: | Video verse Natural language processing |
Issue Date: | 2023 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
Abstract: | Over the last couple of years as Natural Language Processing developed immensely, new state of the art language models have pushed the boundaries in all types of benchmark tasks. In this thesis three different extractive summarization models and three different keyword extraction methods were tested and evaluated based on two different quantitative measures and human evaluation to extract information from text. In this paper different techniques for keyword extraction are presented. Keyword extraction is very useful as it helps us to quickly find the relevant text from a large amount of data. |
Description: | Enrollment No. 191420 |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10234 |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Video verse.pdf | 634.66 kB | Adobe PDF | View/Open |
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