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Improved Text Summarization of News Articles Using GA-HC and PSO-HC

  • 주제(키워드) Automatic Text Summarization (ATS) , genetic algorithm , Hierarchical Clustering Technique (HCT) , agglomerative clustering , extracted summary , Single Document Summarization
  • 주제(기타) Chemistry, Multidisciplinary
  • 주제(기타) Engineering, Multidisciplinary
  • 주제(기타) Materials Science, Multidisciplinary
  • 주제(기타) Physics, Applied
  • 설명문(일반) [Mohsin, Muhammad; Latif, Shazad] Shaheed Zulfikar Ali Bhutto Inst Sci & Technol, Dept Comp Sci, Islamabad 44001, Pakistan; [Haneef, Muhammad] Fdn Univ Islamabad, Dept Elect Engn, Rawalpindi 44000, Pakistan; [Tariq, Usman] Prince Sattam Bin Abdulaziz Univ, Coll Comp Engn & Sci, Al Kharaj 11942, Saudi Arabia; [Khan, Muhammad Attique] HITEC Univ Taxila, Dept Comp Sci, Taxila 47080, Pakistan; [Kadry, Sefedine] Noroff Univ Coll, Fac Appl Comp & Technol, N-4612 Kristiansand, Norway; [Yong, Hwan-Seung] Ewha Womans Univ, Dept Comp Sci & Engn, Seoul 03760, South Korea; [Choi, Jung-In] Ajou Univ, Dept Appl Artificial Intelligence, Suwon 16499, South Korea
  • 관리정보기술 faculty
  • 등재 SCIE, SCOPUS
  • OA유형 gold
  • 발행기관 MDPI
  • 발행년도 2021
  • 총서유형 Journal
  • URI http://www.dcollection.net/handler/ewha/000000191062
  • 본문언어 영어
  • Published As https://doi.org/10.3390/app112210511

초록/요약

Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news websites and blog websites. Manual summarization is time consuming, and it is difficult to read and summarize a large amount of content. Automatic text summarization is the solution to deal with this problem. This study proposed two automatic text summarization models which are Genetic Algorithm with Hierarchical Clustering (GA-HC) and Particle Swarm Optimization with Hierarchical Clustering (PSO-HC). The proposed models use a word embedding model with Hierarchal Clustering Algorithm to group sentences conveying almost same meaning. Modified GA and adaptive PSO based sentence ranking models are proposed for text summary in news text documents. Simulations are conducted and compared with other understudied algorithms to evaluate the performance of proposed methodology. Simulations results validate the superior performance of the proposed methodology.

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