Web information analysis for open-domain decision support

Kawada, Takuya; Akamine, Susumu; Kawahara, Daisuke; Kato, Yukie; Leon-Suematsu, Yutaka I.; Inui, Kentaro; Kurohashi, Sadao; Kidawara, Yutaka

doi:10.1145/1964114.1964118

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…For deriving a decision from various opinions, Kawada et al proposed a Web information analysis system called WISDOM [4] [19]. WISDOM helps users to judge the credibility by aggregating and organizing Web information from the various perspectives related to the information credibility.…”

Section: Related Workmentioning

confidence: 99%

High Precision Credibility Analysis of Information on Twitter

Namihira

Segawa

Ikegami

et al. 2013

2013 International Conference on Signal-Image Technology &Amp; Internet-Based Systems

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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. The information credibility is assessed calculating the ratio of the positive opinions to all opinions about a topic. To identify the topic of a tweet, topic models are generated using Latent Dirichlet Allocation. To identify if an opinion of the tweet is positive or negative, sentiment analysis is performed using a semantic orientation dictionary. However, the accuracy of the method is susceptible to the number of tweets. That is to say, if the number of tweets with the same topic is small, the denominator is reduced. Thus the accuracy is also reduced. To cope with this problem, a new method of providing an expertise score is proposed. The score is used to calculate the information credibility depending on user's knowledge (expertise). This makes tweets of a user handled as a more reliable opinion even if it is a minor opinion.

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Section: Related Workmentioning

confidence: 99%

High Precision Credibility Analysis of Information on Twitter

Namihira

Segawa

Ikegami

et al. 2013

2013 International Conference on Signal-Image Technology &Amp; Internet-Based Systems

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“…Using this workflow, the user can grasp the positive and negative opinions about the keyword. To classify the tweets into positives and negatives, we use WISDOM 1 , which assesses the credibility of information on the web from multiple viewpoints [8]. WISDOM provides an opinion extraction function that classifies sentences into positives and negatives by extracting and counting positive and negative words from the sentences.…”

Section: Motivationmentioning

confidence: 99%

Data-Centered Service Composition for Information Analysis

Murakami

Tanaka

Bramantoro

et al. 2012

2012 IEEE Ninth International Conference on Services Computing

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In e-Science, many scientific workflow management systems have been developed to integrate distributed computation resources, data sets, and mining algorithms. Users usually modify and rerun a workflow while repeating procedures: preprocess of data, selection of features, modification of data, selection of mining algorithms, generation of models, and evaluation of the models. These procedures are continued until the domain knowledge is acquired. However, as the size of the data increases, the execution time of the workflow becomes longer and longer, which drives up the cost of rerunning the modified workflow. As a result, it becomes hard to quickly obtain the analysis result. In this research, we avoided the rerun of the workflow by storing service invocation results on a platform and realized data-centered service composition by adding and deleting rules to be fired. To validate the effectiveness of our proposed platform, we created two rulebased services to analyze real-time data: stream message data and sensing data.

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Service enthalpy for analyzing cybercrime

Bramantoro

2015

2015 First International Conference on Anti-Cybercrime (ICACC)

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Web information analysis for open-domain decision support

Cited by 9 publications

References 11 publications

High Precision Credibility Analysis of Information on Twitter

High Precision Credibility Analysis of Information on Twitter

Data-Centered Service Composition for Information Analysis

Service enthalpy for analyzing cybercrime

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