Design and Implementation of Network Public Opinion Analysis System
Abstract: Network public
opinion analysis is an important way of information analysis processing. This
paper based on the research of the related technologies, designs and realizes a
new network public opinion analysis system. System mainly includes network data
fetching part, fetching the data processing part, analyzes the processed data
part and display part of the public opinion analysis results. In the document
extraction part, used the web crawler technology, Larbin web crawler to realize
the collection of web content; In public opinion information analysis part, the
implementation of the new topic adopts an improved Single - Pass clustering
algorithm. This algorithm is using of multi-center, using the title and body of
the vector to compared two-way ,that is better reflect the dynamics of public
opinion topics. Finally, in the network environment of a university, we have
the tests repeatedly. The results show that the new public opinion analysis
system running is stable and has good efficiency. The thesis has certain value
for the development of other information analysis systems in the Internet.
Author: Ma Junhong, Liao Na
Journal Code: jptkomputergg150185
