[1]赵文清,侯小可,沙海虹.语义规则在微博热点话题情感分析中的应用[J].智能系统学报,2014,9(1):121-125.[doi:10.3969/j.issn.1673-4785.201208020]
 ZHAO Wenqing,HOU Xiaoke,SHA Haihong.Application of semantic rules to sentiment analysis of microblog hot topics[J].CAAI Transactions on Intelligent Systems,2014,9(1):121-125.[doi:10.3969/j.issn.1673-4785.201208020]
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语义规则在微博热点话题情感分析中的应用

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相似文献/References:
[1]赵文清,侯小可.基于词共现图的中文微博新闻话题识别[J].智能系统学报,2012,7(5):444.
 ZHAO Wenqing,HOU Xiaoke.News topic recognition of Chinese microblog based on word cooccurrence graph[J].CAAI Transactions on Intelligent Systems,2012,7(1):444.
[2]韩忠明,张慧,张梦.基于内容的热点话题传播模型[J].智能系统学报,2013,8(3):233.
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[3]刘志雄,贾彩燕.面向用户兴趣与社区关系的微博话题检测方法[J].智能系统学报,2016,11(3):294.[doi:10.11992/tis.201603341]
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备注/Memo

收稿日期:2012-08-14。
基金项目:国家自然科学基金资助项目(70671039);中央高校基本科研业务费专项资金资助项目(12MS121).
作者简介:侯小可,男,1985年生,硕士研究生,主要研究方向为人工智能、数据挖掘等;沙海虹,男,1971年生,高级工程师,主要研究方向为人工智能、数据挖掘。
通讯作者:赵文清,女,1973年生,副教授,中国人工智能学会粗糙集与软计算专业委员会委员,主要研究方向为机器学习、数据挖掘、贝叶斯网络学习等。获河北省科技进步三等奖1项、国家发明专利1项,发表学术论文30余篇,出版教材3部.E-mail:houxiaoke2008@163.com.

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