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A Uighur Automatic Summarization Method Based on Sub-theme Division

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 520))

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Abstract

As a very important research focus of natural language processing, automatic summarization can be used in many fields whether in improving the quality of searching results on a search engine or as a means of public opinion analysis. A method for Uighur automatic summarization is proposed in this paper which is base on sub-theme division and weight value. And by experiments, we find that it can get good precision and recall rates.

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Acknowledgement

The work in this paper is supported by the National Natural Science Foundation of China project “Research on Basic Theory and Key Technology of Cross Language Social Public Opinion Analysis”(61331013).

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Authors and Affiliations

  1. China National Language Resource Monitoring & Research Center Minority Languages Branch, Minzu University of China, Zhongguancun Street 27#, Haidian District, Beijing, 100081, China

    Xiaodong Yan

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  1. Xiaodong Yan
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Correspondence to Xiaodong Yan .

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Editors and Affiliations

  1. Beijing University of Posts and Telecommuncations, Beijing, China

    Lu Yueming

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Wu Xu

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Zhang Xi

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Yan, X. (2015). A Uighur Automatic Summarization Method Based on Sub-theme Division. In: Yueming, L., Xu, W., Xi, Z. (eds) Trustworthy Computing and Services. ISCTCS 2014. Communications in Computer and Information Science, vol 520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47401-3_2

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  • DOI: https://doi.org/10.1007/978-3-662-47401-3_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47400-6

  • Online ISBN: 978-3-662-47401-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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