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DOI: 10.14569/IJACSA.2017.081052
PDF

Text Summarization Techniques: A Brief Survey

Author 1: Mehdi Allahyari
Author 2: Seyedamin Pouriyeh
Author 3: Mehdi Assefi
Author 4: Saeid Safaei
Author 5: Elizabeth D. Trippe
Author 6: Juan B. Gutierrez
Author 7: Krys Kochut

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 10, 2017.

  • Abstract and Keywords
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Abstract: In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. Text summarization is the task of shortening a text document into a condensed version keeping all the important information and content of the original document. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.

Keywords: Text summarization; extractive summary; abstractive summary knowledge bases; topic models

Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez and Krys Kochut, “Text Summarization Techniques: A Brief Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 8(10), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081052

@article{Allahyari2017,
title = {Text Summarization Techniques: A Brief Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081052},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081052},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {10},
author = {Mehdi Allahyari and Seyedamin Pouriyeh and Mehdi Assefi and Saeid Safaei and Elizabeth D. Trippe and Juan B. Gutierrez and Krys Kochut}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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