With the continuous development of network technology and Internet technology, the current amount of network multimedia data is increasing, which affects the supervision of network public opinion to a certain extent. In order to ensure the extraction efficiency of the element information of network public opinion association subject, this paper deeply analyzes the mining methods of the public opinion association subject in the network multimedia data, that is, in the specific research, the relevant contents of the network public opinion association are taken as the starting point to analyze the data mining methods. Through research and exploration, the effective application of data mining methods of public opinion related topics can improve the mining efficiency and accuracy of network multimedia data, and provide effective data support for the supervision of network public opinion, that is, to support the public network with various opinions, which is conducive to supervision.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.