A SURVEY AUTOMATIC TEXT SUMMARIZATION

Year 2017, Volume: 5 Issue: 1, 205 - 213, 30.06.2017

Oguzhan Tas Farzad Kiyani

https://doi.org/10.17261/Pressacademia.2017.591

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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