A SURVEY AUTOMATIC TEXT SUMMARIZATION

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PressAcademia Procedia
Volume:5 Issue:1
A SURVEY AUTOMATIC TEXT SUMMARIZATION

A SURVEY AUTOMATIC TEXT SUMMARIZATION

Authors : Oguzhan Tas, Farzad Kiyani

Pages : 205-213

Doi:10.17261/Pressacademia.2017.591

View : 24 | Download : 15

Publication Date : 2017-06-30

Article Type : Research Paper

Abstract :Text summarization is compress the source text into a diminished version conserving its information content and overall meaning. Because of the great amount of the information we are provided it and thanks to development of Internet Technologies, text summarization has become an important tool for interpreting text information. Text summarization methods can be classified into extractive and abstractive summarization. An extractive summarization method involves selecting sentences of high rank from the document based on word and sentence features and put them together to generate summary. The importance of the sentences is decided based on statistical and linguistic features of sentences. An abstractive summarization is used to understanding the main concepts in a given document and then expresses those concepts in clear natural language. In this paper, gives comparative study of various text summarization techniques.
Keywords : Text summarization, natural language processing, NLP, statistical approach

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