PSO-Based Text Summarization Approach Using Sentiment Analysis

  • Shrabanti Mandal
  • Girish Kumar SinghEmail author
  • Anita Pal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)


In the present era of technology, most of the human activities are controlled and monitored by the electronic devices and still, people are working for more advanced technology and hence to fulfill the customers requirement. Government is also promoting digitization of data which results in large volume of data. To manage digital data, some approach is required to retrieve the data efficiently. Till now, so many techniques have been proposed for retrieving data in original form as well as compact form. This paper focuses on the technique for retrieving the data (text) in compact form or summarizes form. To achieve this goal, the concept of Particle Swarm Optimization (PSO) with sentiment analysis has been used. PSO has been used in the field of text summarization and the result is remarkable. Besides PSO, Sentiment Analysis (SA) has been proved its importance in the same research field.


Information retrievals Text summarization Particle swarm optimization Sentiment analysis 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

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 TechnologyDurgapurIndia

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