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Text Summarization Technique by Sentiment Analysis and Cuckoo Search Algorithm

  • Shrabanti Mandal
  • Girish Kumar SinghEmail author
  • Anita Pal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1025)

Abstract

To manage the huge information, summarization is one of the most essential tasks. There are many techniques available for this purpose, yet this is a challenge to produce the optimum solution. This paper proposes an approach for text summarization based on sentiment analysis and cuckoo search algorithm. For solving the optimization problem in several areas, the cuckoo search algorithm is used. The cuckoo search basically is a type of nature-inspired algorithms. It is efficient for solving the global optimization problem as it is capable to proceed by maintaining balance between local and global random walks. Here we use cuckoo search algorithm with sentiment score for summarizing the text document. The experimental analysis uses benchmark database. The outcome of the proposed model has been compared in terms of ROUGE score with some existing and some human-generated output.

Keywords

Text summarization Cuckoo search Lévy flight Gauss distribution 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Shrabanti Mandal
    • 1
  • Girish Kumar Singh
    • 1
    Email author
  • Anita Pal
    • 2
  1. 1.Department of Computer Science & ApplicationsDr. Harisingh Gour Central UniversitySagarIndia
  2. 2.Department of MathematicsNational Institute of Technology, DurgapurDurgapurIndia

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