Analysis of Bulletin Board System Hot Topics Based on Multiple Keywords Combination

Collection and analysis of information about network public opinion has currently become an effective means to get people thinking and recommendations by the government departments. In this paper, we presents a method of BBS(Bulletin Board System) hot topic analysis based on multiple keywords combin...

Full description

Saved in:
Bibliographic Details
Main Authors: Shi-dong Zhu, Xiao-hui Wu, Jia-peng Fan
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Classification algorithms
Clustering algorithms
Data mining
Electronic mail
Government
Semantics
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Collection and analysis of information about network public opinion has currently become an effective means to get people thinking and recommendations by the government departments. In this paper, we presents a method of BBS(Bulletin Board System) hot topic analysis based on multiple keywords combination, this method, which use Chinese automatic word segmentation technology, firstly extracts keywords by counting the word frequency and then removes useless words from word frequency table and obtains the hot topic through the keywords positive connection. We described the method in details with a experiment which can prove the validity and rationality of the analytical method at the end of the paper.
DOI:10.1109/ICMSS.2011.5999066