Latest YouTube Video

Thursday, April 30, 2015

Detecting Concept-level Emotion Cause in Microblogging. (arXiv:1504.08050v1 [cs.CL])

In this paper, we propose a Concept-level Emotion Cause Model (CECM), instead of the mere word-level models, to discover causes of microblogging users' diversified emotions on specific hot event. A modified topic-supervised biterm topic model is utilized in CECM to detect emotion topics' in event-related tweets, and then context-sensitive topical PageRank is utilized to detect meaningful multiword expressions as emotion causes. Experimental results on a dataset from Sina Weibo, one of the largest microblogging websites in China, show CECM can better detect emotion causes than baseline methods.



from cs.AI updates on arXiv.org http://ift.tt/1QR3lfe
via IFTTT

No comments: