Discovering topic from Chinese microblog based on hidden topics analysis
Shi Jian-hon · Jisuanji yingyong yanjiu · 2014
For high dimensional and sparse Chinese microblog data,this paper proposed a multi-step method for discovering topic. Firstly,it combined with the spread characteristics of microblog,it got the microblog content which had a high news value. Then,it used the hidden topics analysis technique to model the text data and got the result of the text clustering by using the hidden topic information. Finally,the keywords which were best represented the topic content would be obtained from the clustered results through frequent itemsets mining. The experimental results verify the validity of the method on Chinese microblog dataset's dimensionality reduction and topic identification.