Microblog event evolution analysis method based on feature word co-occurrence graph

• Main Authors: JIANG SHAN, FEI GAOLEI, YU FUCAI, YANG HONGQUAN, HU GUANGMIN
• Format: Patent
• Language: Chinese; English
• Published: 01.11.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a microblog event evolution analysis method based on a feature word co-occurrence graph. The method comprises the steps: carrying out the data preprocessing of an original event microblog set, and generating an event microblog word set; extracting feature words of the event microblog word set, and constructing a feature word co-occurrence graph based on a feature word co-occurrence relationship in the text; carrying out feature word community division on the feature word co-occurrence graph; and calculating the similarity between the microblogs and the feature words inthe community, and carrying out sub-event microblog clustering processing. According to the invention, a user can be helped to quickly and fully understand the evolution process of the whole popular event, so that interested information can be quickly and accurately obtained. 本发明公开了一种基于特征词共现图的微博事件演化分析方法，该方法包括对原始事件微博集合进行数据预处理，生成事件微博单词集合；提取事件微博单词集合特征词，基于文本中特征词共现关系构造特征词共现图；对特征词共现图进行特征词社团划分；计算微博与社团中特征词的相似度，进行子事件微博聚类处理。本发明能够帮助