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آرشیو :
نسخه تابستان 1398
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موضوع :
سایر شاخه های علوم رایانه
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نویسنده/گان :
مژگان خزانه داری، احمد سلحشور
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کلید واژه :
خلاصه سازی متن، تحلیل احساسات، الگوریتم بهینه سازی فاخته، ابزار ارزیابی ROUGE
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Title :
Text summarizing using cuckoo search algorithm and combining it with emotion analysis
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Abstract :
Today, due to the abundance of documents on the Internet, most of which contain unnecessary information, the importance of summarizing texts to reduce study time is of particular importance. The dramatic increase in this type of information highlights the importance of tools for automated summarization of textual resources more than ever before. Summary is essentially the process of compressing a resource, so that the result contains important information about that resource. In other words, extracting important parts of one or more texts is called summarizing. Despite the many techniques available for summarizing texts, there is still no one-size-fits-all solution. In this paper, by using the cuckoo search algorithm and combining it with emotion analysis, the accuracy of the extracted summaries has increased.
The research process includes steps of preprocessing, Gaussian distribution, fitting function and execution of text summarization algorithm. The preprocessing step includes sentence segmentation, tokenization or markup, deletion of the pause word, and sub-tasks including deletion of the root of the words. The proposed algorithm of this research is evaluated on 10 different documents collected from DUC2007 data set. DUC2007 data included a total of 45 items, each containing 25 documents. The ROUGE-1.5.5 package has been used to evaluate the summary text with evaluation criteria. The proposed summary system shows better results in the Recall, Precision and F-measure criteria compared to other summary systems using the ROUGE-1.5.5 package.
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مراجع :
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- صفحات : 69-80
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