Abstract
In this paper, we propose an improved topic detection method based on the HowNet semantic expansion. Using the HowNet to extent the VSM of micro-blog content, solve the problem that the similarity calculation is not accurate because of the length of the micro-blog text is too small and the gap of user comments number is too large through the two-step above. The similarity calculated accurately, would there be a good clustering effect. Put forward a more complete topic heat assessment methods that take into account the number of fans of the Micro-Bo users, the number of forwarding Micro-Bo text, comments, and time factors.
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