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DC Field | Value | Language |
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dc.contributor.author | SHARMA, PARUL | - |
dc.date.accessioned | 2017-09-11T12:08:05Z | - |
dc.date.available | 2017-09-11T12:08:05Z | - |
dc.date.issued | 2017-07 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15948 | - |
dc.description.abstract | Summarization is the art of abstracting key content from one or more information sources. Summarization includes text summarization, image summarization, and video summarization. Text summarization is one of application of natural language processing and is becoming more popular for information condensation. Information is accessible in great quantity for every topic on internet assembly the key information in the form of summary would benefit a number of users. Automatic text summarization system generates a summary, i.e. it contains short length text which comprises all the key information of the document. Summary can be generated through extractive as well as abstractive methods. There are two approaches for summarization Supervised and Unsupervised which are further classified into many techniques. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-2922; | - |
dc.subject | TEXT SUMMARIZATION | en_US |
dc.subject | IMAGE SUMMARIZATION | en_US |
dc.subject | VIDEO SUMMARIZATION | en_US |
dc.title | STUDY OF SUPERVISED AND UNSUPERVISED TEXT SUMMARIZATION TECHNIQUE | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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TD2922-II (PARUL SHARMA).pdf | 1.46 MB | Adobe PDF | View/Open |
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