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Automatic Texts Summarization: Current State of the Art

Author

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  • Nabil ALAMI
  • Mohammed MEKNASSI
  • Noureddine RAIS

Abstract

To facilitate the task of reading and searching information, it became necessary to find a way to reduce the size of documents without affecting the content. The solution is in Automatic text summarization system, it allows, from an input text to produce another smaller and more condensed without losing relevant data and meaning conveyed by the original text. The research works carried out on this area have experienced lately strong progress especially in English language. However, researches in Arabic text summarization are very few and are still in their beginning. In this paper we expose a literature review of recent techniques and works on automatic text summarization field research, and then we focus our discussion on some works concerning automatic text summarization in some languages. We will discuss also some of the main problems that affect the quality of automatic text summarization systems.

Suggested Citation

  • Nabil ALAMI & Mohammed MEKNASSI & Noureddine RAIS, 2015. "Automatic Texts Summarization: Current State of the Art," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 5(1), pages 1-15.
    • Handle: RePEc:asi:joasrj:v:5:y:2015:i:1:p:1-15:id:3702
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    File URL: https://archive.aessweb.com/index.php/5003/article/view/3702/5859
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    Cited by:

    1. Osama Mohammad Rababah & Esra F. Alzaghoul & Hussam N. Fakhouri, 2018. "An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data," Modern Applied Science, Canadian Center of Science and Education, vol. 12(9), pages 190-190, September.

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