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A Survey of Text Summarization Extractive Techniques

Vishal Gupta1 and Gurpreet Singh Lehal2
1. University Institute of Engineering & Technology, Computer Science & Engineering, Panjab University Chandigarh, India
2. Department of Computer Science, Punjabi University Patiala, Punjab, India
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.

Index Terms—text summarization, extractive summary, abstractive summary  

Cite: Vishal Gupta and Gurpreet Singh Lehal, "A Survey of Text Summarization Extractive Techniques," Journal of Emerging Technologies in Web Intelligence, Vol. 2, No. 3, pp. 258-268, August 2010. doi:10.4304/jetwi.2.3.258-268
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