Abstract
As an important social information interchange platform, micro blogging has accumulated a large amount of immediacy, rich semantics, and various forms of user generated content (UGC). How to efficiently and accurately discover useful knowledge from the UGC is what micro blog mining focuses on. This article introduce two methods for acquiring micro blog data: micro blogging open application program interface (API) and web crawler. The hot issues are classified into two categories: micro blog user analysis (e.g., user classification and user's behavior analysis) and micro blog content analysis (e.g., text pre-processing, hot topic discovering and sentiment analysis), finally, we propose our self-developed micro blog mining system: Reading-Weibo, which provides real-time, interaction, dynamic and multidimensional service.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
