Automatic Multi-Document Arabic Text Summarization Using Clustering and Keyphrase Extraction
نویسندگان
چکیده
منابع مشابه
Automatic Multi-Document Arabic Text Summarization Using Clustering and Keyphrase Extraction
Automatic text summarization has become important due to the rapid growth of information texts since it is very difficult for human beings to manually summarize large documents of texts. A full understanding of the document is essential to form an ideal summary. However, achieving full understanding is either difficult or impossible for computers. Therefore, selecting important sentences from t...
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Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically related subsets of some corpora if the automatically determined sets of keyphrases for the individual documents ...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence
سال: 2014
ISSN: 1994-5450
DOI: 10.3923/jai.2015.1.9