| 短句语义向量计算方法 |
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| 引用本文： | 陈 福,林 闯,薛 超,徐月梅,孟 坤,倪艺函. 短句语义向量计算方法[J]. 通信学报, 2016, 37(2): 11-19. DOI: 10.11959/j.issn.1000-436x.2016018 |
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| 作者姓名： | 陈 福 林 闯 薛 超 徐月梅 孟 坤 倪艺函 |
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| 作者单位： | 1. 北京外国语大学计算机系，北京 100089；2. 清华大学计算机系，北京 100084 |
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| 基金项目： | 国家自然科学基金资助项目(No.61170209, No. 61173008, No. 61502038, No.61370132)；教育部新世纪优秀人才支持计划基金资助项目（No.NCET-13-0676）；2011重点课题基金资助项目（No.BFSU2011-ZS04） |
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| 摘 要： | 提出了一种基于人工神经网络的短文语义向量放缩算法，结合社交节点自身信息和短文语义，给出社交网络短文语义计算方法和突发话题发现算法。通过文本数值化实现语义距离的计算、比较、节点的分类及社区发现等。通过自行开发的微博采集工具Argus采集的大量新浪微博内容对所提模型和算法进行了验证，最后对未来工作进行了展望。
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| 关 键 词： | 在线社会网络；主题语义计算；人工神经网络；突发话题发现 |
Vector semantic computing method study for short sentence |
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| Fu CHEN,Chuang LIN,Chao XUE,Yue-mei XU,Kun MENG,Yi-han NI. Vector semantic computing method study for short sentence[J]. Journal on Communications, 2016, 37(2): 11-19. DOI: 10.11959/j.issn.1000-436x.2016018 |
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| Authors: | Fu CHEN Chuang LIN Chao XUE Yue-mei XU Kun MENG Yi-han NI |
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| Affiliation: | 1. Computer Department,Beijing Foreign Studies University, Beijing 100089, China;2. Computer Department,Tsinghua University, Beijing 100084, China |
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| Abstract: | A vector semantic computing method study for short sentence based on artificial neural network was proposed. And a semantic computational algorithm for social network texts as well as a discovery algorithm for emergencies was provided with reference to the information provided by the social nodes itself and the semantic of the text. Through the numerization of text, the calculation and comparison of semantic distance, the classification of nodes and the discovery of community can be realized. Then, huge quantities of Sina Weibo contents are collected to verify the model and algorithm put forward. In the end, outlooks for future jobs are provided. |
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| Keywords: | online social networks theme semantic computing artificial neural nets burst topics discovering |
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