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dc.contributor.authorSHARMA, PARUL-
dc.date.accessioned2017-09-11T12:08:05Z-
dc.date.available2017-09-11T12:08:05Z-
dc.date.issued2017-07-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/15948-
dc.description.abstractSummarization 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.isoenen_US
dc.relation.ispartofseriesTD-2922;-
dc.subjectTEXT SUMMARIZATIONen_US
dc.subjectIMAGE SUMMARIZATIONen_US
dc.subjectVIDEO SUMMARIZATIONen_US
dc.titleSTUDY OF SUPERVISED AND UNSUPERVISED TEXT SUMMARIZATION TECHNIQUEen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Engineering

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