Journal of Emerging Technologies in Web Intelligence, Vol 2, No 3 (2010), 258-268, Aug 2010
doi:10.4304/jetwi.2.3.258-268

A Survey of Text Summarization Extractive Techniques

Vishal Gupta, Gurpreet Singh Lehal

Abstract


Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very difficult for human beings to manually summarize large documents of text. Text Summarization methods can be classified into extractive and Abstractive summarization. An extractive summarization method consists of selecting important sentences, paragraphs etc. from the original document and concatenating them into shorter form. The importance of sentences is decided based on statistical and linguistic features of sentences. An Abstractive summarization method consists of understanding the original text and re-telling it in fewer words. It uses linguistic methods to examine and interpret the text and then to find the new concepts and expressions to best describe it by generating a new shorter text that conveys the most important information from the original text document. In this paper, a Survey of Text Summarization Extractive techniques has been presented.



Keywords


Text Summarization, extractive summary, Abstractive summary

References



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Journal of Emerging Technologies in Web Intelligence (JETWI, ISSN 1798-0461)

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