Extractive text summarization

dc.contributor.author	Rahaman, Md. Jamaner
dc.date.accessioned	2018-09-08T07:15:12Z
dc.date.accessioned	2019-05-27T10:17:25Z
dc.date.available	2018-09-08T07:15:12Z
dc.date.available	2019-05-27T10:17:25Z
dc.date.issued	2018-08-08
dc.identifier.uri	http://hdl.handle.net/20.500.11948/3098
dc.description.abstract	Selecting the important words by counting the word score it is one of the ways of extractive text summarization. Summarizer helps the people to reduce the time destroying. People can easily understand by seeing the summary. This thesis based on bag of words model. Using this model I created a text summarizer for generating the summary follow the extractive text summarization. Inside this model I additionally added weighted histogram for counting the word score. Finally, this summarizer is able to create a summary of the full text file.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Text summarization	en_US
dc.title	Extractive text summarization	en_US
dc.type	Thesis	en_US