Abstract

With the popularization of Internet social networking service, the results of association data mining between friend dynamic, microblog and moments that user posting and giving feedback information, which have important influence on government planning, business management and personal affairs decision-making activities. This paper studies the data mining technology of social network related information, analyzes the text data in social network by using the finite state automata (DFSA) and word frequency - reverse file frequency (TF-IDF), and using tree algorithm to sort the data. The simulation results show that this method can realize the classification data mining of social network related information.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.