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Telugu Text Summarization Using HS and GA Particle Swarm Optimization Algorithms

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Smart Intelligent Computing and Applications, Volume 1

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 282))

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Abstract

For the extraction of summaries of individual Telugu papers in this study, we propose using the Particle Swarm Optimization (PSO) algorithm. The PSO technique is analogous to the development of genetics and harmony search approaches (HS). The proposed technique will be examined using the Telugu NLP docs and the ROUGE tool. Experimental tests have demonstrated that the suggested approach achieves competitive and higher ROUGE values, compared with conventional HS and GA techniques.

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Author information

Authors and Affiliations

  1. CMR Technical Campus, Hyderabad, India

    M. Varaprasad Rao & K. Srujan Raju

  2. MVSR Engineering College, Hyderabad, India

    A. V. Krishna Prasasd

  3. JB Institute of Engineering and Technology, Hyderabad, India

    A. Anusha

Authors
  1. M. Varaprasad Rao
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  2. A. V. Krishna Prasasd
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  3. A. Anusha
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  4. K. Srujan Raju
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Signals and Communications Department, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Carlos M. Travieso-Gonzalez

  4. Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India

    T. Adilakshmi

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Rao, M.V., Prasasd, A.V.K., Anusha, A., Raju, K.S. (2022). Telugu Text Summarization Using HS and GA Particle Swarm Optimization Algorithms. In: Bhateja, V., Satapathy, S.C., Travieso-Gonzalez, C.M., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies, vol 282. Springer, Singapore. https://doi.org/10.1007/978-981-16-9669-5_54

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