Protocol Analysis of a Public Debate Using Facet Theory

Hatori, Tsuyoshi; Kawayoke, Takahiro; Kobayashi, Kiyoshi; Natsume, Takuo; Fujisaki, Eiji

doi:10.2208/journalip.23.91

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Jeong et al [3][4] developed a model to investigate and visualize the semantic similarities of utterances between participants involved in public debates for accurate understanding of the contents. Hatori et al [7] and Jeong et al [6] proposed a methodology for analysis of a public debate using the facet theory, which was used to classify the utterances of participants as a combination of facet elements. Thus, the cognitive dissonance among participants in the debate was examined.…”

Section: A Corpus Linguistics and Related Studiesmentioning

confidence: 99%

Disaster Anxiety Measurement and Corpus-Based Content Analysis of Crisis Communication

Seungji

Jeong

Kobayashi

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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The aim of this study is to develop a methodology for evaluating public anxiety arising from disaster events and to clarify the nature of crisis communication between the government and citizens. Preparing for catastrophes that may happen in the future is an important issue in risk management. In the Great East Japan Earthquake, Twitter was used widely as a means of sharing information about the disaster. This paper proposes a methodology for measuring anxiety by determining semantic orientations of risk assessments and clarifying the contents and structures of crisis communication systems by referencing the corpus of government announcements and Twitter during the week after the Great East Japan Earthquake. Objectivity of this paper has been ensured by applying natural language processing and text mining techniques based on corpus linguistics.

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Section: A Corpus Linguistics and Related Studiesmentioning

confidence: 99%

Disaster Anxiety Measurement and Corpus-Based Content Analysis of Crisis Communication

Seungji

Jeong

Kobayashi

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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“…In discourse analysis, context refers to the information that surrounds a sentence and determines its meaning, and includes a broad range of information such as the speaker's knowledge, beliefs, facial expressions, gestures, and social circumstance, and culture. Hatori et al (2006) suggested a discourse analysis based on facet theory. In this method, utterances in a debate are decomposed into three conceptual units (hereafter called "facets")-"what" should be solved, "how" it should be solved, and "why" it should be solved, in order to effectively examine interest conflict and cognitive dissonance among debate participants.…”

Section: Content Analysismentioning

confidence: 99%

Facet Decomposition and Discouse Analysis: Visualization of Conflict Structure

Jeong¹,

Kobayashi²,

Hatori³

et al. 2012

Semantics in Action - Applications and Scenarios

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“…Based on a discourse analysis way of thinking, Hatori and others developed a protocol analysis method based on Facet theory for verifying the conflict and incompatibility between opinions of participants [6]. The method was applied to minutes of public debates analysis and clarified the pattern of discourse and conflict structure.…”

Section: B Related Studiesmentioning

confidence: 99%

Discourse Analysis of Public Debates Using Corpus Linguistic Methodologies

Jeong¹,

Shiramatsu²,

Kobayashi³

et al. 2008

JCP

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The aim of this study is to develop a computational method of discourse analysis based on corpus semantics. The objective is to achieve an accurate understanding of the debate content and structure through hypotheses generation. As for verifying the hypotheses, the topic extraction and semantic similarity evaluation from the public debate minute corpus is examined by using a multimethod which includes TFIDF, T-VSM, and MDS. The main issue of public debate and the inconsistency level between participants’ utterance could be described by using the method. The methodology presented in this study is applied to a case example. Finally, the applicability of the proposed methodology to practical debates is discussed.

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Protocol Analysis of a Public Debate Using Facet Theory

Cited by 5 publications

References 13 publications

Disaster Anxiety Measurement and Corpus-Based Content Analysis of Crisis Communication

Disaster Anxiety Measurement and Corpus-Based Content Analysis of Crisis Communication

Facet Decomposition and Discouse Analysis: Visualization of Conflict Structure

Discourse Analysis of Public Debates Using Corpus Linguistic Methodologies

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