Difference between revisions of "Yang et. al., SIGKDD 2012"
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[http://dl.acm.org/ft_gateway.cfm?id=2350203&ftid=1275470&dwn=1&CFID=117678839&CFTOKEN=31585393 Automatic detection of rumor on Sina Weibo] | [http://dl.acm.org/ft_gateway.cfm?id=2350203&ftid=1275470&dwn=1&CFID=117678839&CFTOKEN=31585393 Automatic detection of rumor on Sina Weibo] | ||
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| + | == Summary == | ||
| + | This [[Category::Paper]] addresses the problem of [[AddressesProblem::Rumor Detection]] | ||
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| + | This task can be divided into two steps. First, collect relevant tweets from the Twitter corpora and then determine whether the tweets express positive or negative opinion. | ||
Revision as of 18:09, 29 September 2012
Citation
Fan Yang, Yang Liu, Xiaohui Yu, and Min Yang. 2012. Automatic detection of rumor on Sina Weibo. In Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics (MDS '12). ACM, New York, NY, USA.
Online version
Automatic detection of rumor on Sina Weibo
Summary
This Paper addresses the problem of Rumor Detection
This task can be divided into two steps. First, collect relevant tweets from the Twitter corpora and then determine whether the tweets express positive or negative opinion.
