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Analyzing discourse topics and topic keywords

Bibliographic Data

ID4473009
AuthorsRichard Watson Todd (0000-0002-5036-967X, King Mongkut's University of Technology Thonburi, corresponding author)
Year2011
Volume2011
Issue184
Publication date2011-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSemiotica (JOURNAL)
Journal identifiersISSN: 0037-1998 • E-ISSN: 1613-3692
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/semi.2011.029
OpenAlexW2106781318
LanguageEN
Citations received1
References cited22

Discourse topic is an intractable and inherently subjective notion making analysis problematic. This paper overcomes some of the problems by treating topic as a fuzzy concept and views discourse topics as sets of topic keywords. The study examines the identification of topic boundaries and topic keywords by informants and by four methods of analyzing topics — topical structure analysis, given-new progression, lexical analysis, and topic-based analysis. Comparing the findings from these four methods against those from the informants, it was found that given-new progression is the most valid method for identifying topic boundaries, and topic-based analysis is the most valid for identifying topic keywords. There are also notable differences in the types of keywords identified and the bases for identifying keywords between the methods and the informants

Data science · Discourse analysis · Identification (biology) · Information retrieval · Linguistics · Topic model · Advanced Text Analysis Techniques · Computer Science · Discourse Analysis in Language Studies · Language, Metaphor, and Cognition

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Unique citing works1
Citations per year0,09
Citation span2015 - 2015 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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