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首页> 外文期刊>Journal of information and computational science >A Supervised Keyphrase Extraction Method Based on the Logistic Regression Model for Social Question Answering Sites
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A Supervised Keyphrase Extraction Method Based on the Logistic Regression Model for Social Question Answering Sites

机译：基于Logistic回归模型的社会问答网站监督短语抽取方法。

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摘要

This paper proposes a supervised machine learning method for the problem of automatic keyphrase extraction for Social Question Answering (SQA) sites. The method is developed by: 1) Analyzing the structural and activity characteristics of typical SQA sites, 2) Developing and categorizing four types of calculation features that can describe those characteristics, and 3) Developing customized logistic regression model to be trained by the real dataset from six popular SQA sites, in both English and Chinese. Experimental results show the influences from those proposed SQA related features vary, some are helpful to keyphrase extraction for SQA sites of both languages while some are only useful for a specific site. The results also demonstrate a generally better performance comparing to a typical keyphrase extraction algorithms published previously like KEA.
机译：针对社交问答网站（SQA）网站的自动关键词提取问题，本文提出了一种监督式机器学习方法。该方法的开发方法如下：1）分析典型SQA站点的结构和活动特征，2）开发和分类可以描述这些特征的四种类型的计算特征，以及3）开发要由实际数据集训练的定制逻辑回归模型来自六个受欢迎的SQA网站（中英文）。实验结果表明，这些建议的SQA相关功能的影响各不相同，有些有助于两种语言的SQA网站的关键词提取，而有些仅对特定网站有用。与以前发布的典型密钥短语提取算法（如KEA）相比，结果还证明了总体上更好的性能。

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  • 来源
    《Journal of information and computational science》 |2014年第10期|3571-3583|共13页
  • 作者

    Ge Lin; Yi Xiang; Zhong Wang; Ruomei Wang;

  • 作者单位

    Zhongshan Health Technology Park Development Co., Ltd,School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, China;

    School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, China;

    Zhongshan Health Technology Park Development Co., Ltd;

    School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Keyphrase Extraction; SQA Sites; Machine Learning;

    机译：关键字短语提取;SQA网站;机器学习;

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