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2016 | OriginalPaper | Chapter

A New Approach for Single Text Document Summarization

Authors : Chandra Shekhar Yadav, Aditi Sharan, Rakesh Kumar, Payal Biswas

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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Abstract

This paper proposes an extraction-based hybrid model for a single text document summarization. The hybrid model is depending on the linear combination of statistical measures like sentence position, TF-IDF, aggregate similarity, centroid, and sentiment analysis. Our idea to include sentiment analysis for salient sentence extraction is derived from the concept that emotion plays an important role in communication to effectively convey any message; hence, it can play vital role in text document summarization. As we know for any sentence, emotions (calling sentiments) may be negative, positive, or neutral. Sentence which has strong sentiment are more important for us which may be either negative or positive.

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Appendix
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Metadata
Title
A New Approach for Single Text Document Summarization
Authors
Chandra Shekhar Yadav
Aditi Sharan
Rakesh Kumar
Payal Biswas
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2522-5

Electronic ISBN: 978-81-322-2523-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2523-2_39