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In order to achieve enhanced credibility of social networking services such as twitter, it is necessary to (1) identify the topic and to (2) check, if the majority of the tweets having the same topic show the same opinion. Therefore, it is indicated to improve the accuracy for analyzing the caller's emotional expression of the “emotional polarity classification”, which is used for opinion classification...
Based on the topic and opinion classification, a tweet credibility analysis method is proposed to detect false information or rumors spreading on Twitter on and after the Great East Japan Earthquake. The credibility is assessed by calculating the ratio of the same opinions to all opinions about a topic identified by topic models generated using Latent Dirichlet Allocation. To identify an opinion (positive...
To detect false information or rumors spread on Twitter on and after the Great East Japan Earthquake, a tweet credibility assessing method was proposed, based on the topic and opinion classification. The credibility is assessed by calculating the ratio of the same opinions to all opinions about a topic identified by topic models generated using Latent Dirichlet Allocation. To identify an opinion (positive...
On and after the Great Eastern Japan Earthquake, various false information and rumor have been spread on Twitter. To cope with this, we proposed the method for automatically assessing the credibility of information based on the topic and opinion classification[16]. The information credibility is assessed calculating the ratio of the same opinions to all opinions about a topic. To identify the topic...
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