A Hybrid Text Summarization Approach

Authors

  • Shrabanti Mandal Department of Computer Science and Applications, Dr. Harisingh Gour Central University, Sagar, Madya Pradesh
  • Girish Kumar Singh Department of Computer Science and Applications, Dr. Harisingh Gour Central University, Sagar, Madya Pradesh
  • Anita Pal Department of Mathematics, National Institute of Technology, Durgapur, West Bengal

DOI:

https://doi.org/10.26713/jims.v9i3.760

Keywords:

Text summarization, Sentiment analysis, Feature extraction, Fuzzy concept

Abstract

Today, internet is the storage of huge information. Therefore it is very serious issue to get data fast and efficiently. Text summarization plays an important role in the field of information retrieval. Text summarization is a process of representing a text in concise way with same sense. This hybrid approach mainly based on extractive summarization. The proposed approach combines the concept of statistical measure, sentiment analysis and finally uses the concept of fuzzy logic to select sentence. Based on the level of importance of the sentence, summary is created.

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CITATION

How to Cite

Mandal, S., Singh, G. K., & Pal, A. (2017). A Hybrid Text Summarization Approach. Journal of Informatics and Mathematical Sciences, 9(3), 547–555. https://doi.org/10.26713/jims.v9i3.760

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Research Articles