جلد 28، شماره 1 - ( 12-1395 )                   جلد 28 شماره 1 صفحات 75-84 | برگشت به فهرست نسخه ها



DOI: 10.22068/ijiepr.28.1.75

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MirShojaee H, Masoumi B, Zeinali E. Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization . IJIEPR. 2017; 28 (1) :75-84
URL: http://ijiepr.iust.ac.ir/article-1-722-fa.html
Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization . نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1395; 28 (1) :75-84

URL: http://ijiepr.iust.ac.ir/article-1-722-fa.html


چکیده:   (523 مشاهده)

    Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study selects extractive method out of different summarizing methods (e.g. abstract method). Extractive method involves summarizing text through objective extraction of some parts of a text like word, sentence, and paragraph. A summarization issue would be unsolvable by exact methods in a reasonable time with considering documents with high amount of information (NP complete). These kinds of issues are usually solved using metaheuristic methods. A biogeography-based optimization algorithm (BBO), which is a new metaheuristic method in the domain of extractive text summarization, is used in this article. 

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نوع مطالعه: پژوهشي | موضوع مقاله: Optimization Techniques
دریافت: ۱۳۹۵/۱۲/۱۶ | پذیرش: ۱۳۹۶/۳/۲۱ | انتشار: ۱۳۹۶/۳/۲۸

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