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Clusters Merging Method for Short Texts Clustering

机译:短文本聚类的聚类合并方法

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Under push of Mobile Internet, new social media such as microblog, we chat, question answering systems are constantly emerging. They produce huge amounts of short texts which bring forward new challenges to text clustering. In response to the features of large amount and dynamic growth of short texts, a two-stage clustering method was putted forward. This method adopted a sliding window sliding on the flow of short texts. Inside the slide window, hierarchical clustering method was used, and between the slide windows, clusters merging method based on information gain was adopted. Experiment indicated that this method is fast and has a higher accuracy.
机译:在移动互联网的推动下,诸如微博,我们聊天,问答系统等新的社交媒体不断涌现。它们产生大量的短文本,这给文本聚类带来了新的挑战。针对短文本量大,动态增长的特点,提出了一种两阶段聚类方法。这种方法采用了在短文本流上滑动的滑动窗口。在幻灯片窗口内部,使用了层次聚类方法,在幻灯片窗口之间,采用了基于信息增益的聚类合并方法。实验表明,该方法快速,准确度较高。

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