Abstract
With the characteristics of timeliness, rapid spread and easy access, micro-blog has made it possible to timely unearth emergencies and dynamically track the latest development. Considering frequency and timeliness of the words as well as the influence of resources, this paper proposes a sudden topic detection method, especially for micro-blog, and establishes a context-based weight evaluation model. Compared with semantic similarity model, this context-based model is especially more adaptable to micro-blog. Real experiment data from micro-blog proves that the proposed methods could detect sudden incidents effectively with big data processing capacity and low time complexity.
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.
