Title :
Improved Text Clustering Algorithm and Application in Microblogging Public Opinion Analysis
Author :
Yiyang Wang ; Li Wang ; Jing Qi ; Zhong Qian ; Bo Xu ; Chao Lei ; Yuexiang Yang ; Huali Cai
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
Based on K-Means algorithm and agglomerative hierarchical clustering algorithm, improvement was made regarding the use of clustering algorithm in the application of text mining. It was verified that the accuracy and efficiency of hot topic detection had been enhanced via vector representation of the text, text similarity calculation, and implementation of clustering algorithm.
Keywords :
Web sites; data mining; pattern clustering; text analysis; vectors; K-means algorithm; agglomerative hierarchical clustering algorithm; hot topic detection; microblogging public opinion analysis; text clustering algorithm; text mining; text similarity calculation; vector representation; Accuracy; Algorithm design and analysis; Clustering algorithms; Educational institutions; Optimization; Partitioning algorithms; Vectors; K-Means algorithm; agglomerative hierarchical clustering; hot topic detection; text clustering;
Conference_Titel :
Software Engineering (WCSE), 2013 Fourth World Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2882-8
DOI :
10.1109/WCSE.2013.9
