基于微博文本的热门话题挖掘方法研究

Wen Hao, Liang Zhao-hui
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引用次数: 4

摘要

如今,微博正在成为人们生活在网络中的一部分。由于热门话题挖掘的重要性,微博热门话题挖掘技术受到广泛关注。介绍了一种基于微博的热门话题挖掘方法。首先,我们对微博内容进行预处理,比如去噪词、停词,为下一阶段的词分析做准备。接下来,我们挖掘实体词,标记可能是主题实体的名词。然后,我们挖掘关键词,确保动词或形容词可能是主题的关键词。此外,对热门话题进行挖掘,根据实体词和关键词对热门话题进行挖掘。最后,我们分析热门话题的时间和数量,根据相关微博内容量随时间的变化来确定该话题是否为热门话题。一些实际实验证明了该系统的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Research of Popular Topic Mining Method Based on Microblogging Text
Nowadays, microblogging is becoming a part of people living in network. Because of the importance of popular topic mining, microblogging popular topic mining technology receive widely attention. This paper introduces a popular topic mining method based on microblogging. First of all, we pretreat microblogging content, such as remove noise words and stop words for word analysis in next stage. Next, we dig entity words, mark the noun which may be the topic entity. And then, we mine key word, make sure the verb or adjective which may be the topic's keyword. Besides, we mine the popular topic, according to the entity words and keywords to mine the popular topic. Finally, we analyze time and amount of popular topic, according to related microblogging content amount change with time to make sure whether this topic is popular topic or not. Some practical experiments have shown the effectiveness and accuracy of our system.
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