Serveur d'exploration Tamazight

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Analyzing discourse topics and topic keywords

Identifieur interne : 000482 ( Main/Exploration ); précédent : 000481; suivant : 000483

Analyzing discourse topics and topic keywords

Auteurs : Richard Watson Todd [Thaïlande]

Source :

RBID : ISTEX:3EEFB5FDD9F82886155C000D83296A952BFC8F49

Abstract

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.

Url:
DOI: 10.1515/semi.2011.029


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI wicri:istexFullTextTei="biblStruct">
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Analyzing discourse topics and topic keywords</title>
<author wicri:is="90%">
<name sortKey="Todd, Richard Watson" sort="Todd, Richard Watson" uniqKey="Todd R" first="Richard Watson" last="Todd">Richard Watson Todd</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:3EEFB5FDD9F82886155C000D83296A952BFC8F49</idno>
<date when="2011" year="2011">2011</date>
<idno type="doi">10.1515/semi.2011.029</idno>
<idno type="url">https://api.istex.fr/document/3EEFB5FDD9F82886155C000D83296A952BFC8F49/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000C66</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000C66</idno>
<idno type="wicri:Area/Istex/Curation">000812</idno>
<idno type="wicri:Area/Istex/Checkpoint">000332</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000332</idno>
<idno type="wicri:doubleKey">0037-1998:2011:Todd R:analyzing:discourse:topics</idno>
<idno type="wicri:Area/Main/Merge">000483</idno>
<idno type="wicri:Area/Main/Curation">000482</idno>
<idno type="wicri:Area/Main/Exploration">000482</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title level="a" type="main" xml:lang="en">Analyzing discourse topics and topic keywords</title>
<author wicri:is="90%">
<name sortKey="Todd, Richard Watson" sort="Todd, Richard Watson" uniqKey="Todd R" first="Richard Watson" last="Todd">Richard Watson Todd</name>
<affiliation></affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Thaïlande</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series>
<title level="j">Semiotica</title>
<title level="j" type="abbrev">Semiotica</title>
<idno type="ISSN">0037-1998</idno>
<idno type="eISSN">1613-3692</idno>
<imprint>
<publisher>Walter de Gruyter GmbH & Co. KG</publisher>
<date type="published" when="2011-04">2011-04</date>
<biblScope unit="volume">2011</biblScope>
<biblScope unit="issue">184</biblScope>
<biblScope unit="page" from="251">251</biblScope>
<biblScope unit="page" to="270">270</biblScope>
</imprint>
<idno type="ISSN">0037-1998</idno>
</series>
<idno type="istex">3EEFB5FDD9F82886155C000D83296A952BFC8F49</idno>
<idno type="DOI">10.1515/semi.2011.029</idno>
<idno type="ArticleID">semi.2011.184.251</idno>
<idno type="pdf">semi.2011.029.pdf</idno>
</biblStruct>
</sourceDesc>
<seriesStmt>
<idno type="ISSN">0037-1998</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass></textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">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.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Thaïlande</li>
</country>
</list>
<tree>
<country name="Thaïlande">
<noRegion>
<name sortKey="Todd, Richard Watson" sort="Todd, Richard Watson" uniqKey="Todd R" first="Richard Watson" last="Todd">Richard Watson Todd</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Linguistique/explor/TamazightV2/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000482 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000482 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Linguistique
   |area=    TamazightV2
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     ISTEX:3EEFB5FDD9F82886155C000D83296A952BFC8F49
   |texte=   Analyzing discourse topics and topic keywords
}}

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Wed Nov 15 18:28:35 2017. Site generation: Sat Feb 10 16:46:27 2024