2010
DOI: 10.4000/mots.19889
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Mots et politique, avant et autour de 1980 Entretien

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Cited by 3 publications
(3 citation statements)
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References 21 publications
(5 reference statements)
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“…Textual data analysis can be defined as a set of methods which relies on statistics to analyse text corpora and on qualitative tools (Lebart et al, 2019). Textual data analysis differs from bibliometric methods: while the former was developed within linguistics (Tournier, 2010), the latter stems from scientometrics and more broadly from the development of statistics in scientific literature (Godin, 2006). Bibliometrics focuses on the analysis of information on publications (particularly authors and citations) and are often used to identify collaborations between authors and to map research fields (Newell and Cousins, 2015 offer an interesting example of bibliometrics applied to the analysis of the 'urban metabolism' metaphor), whereas textual data analysis focuses on words, expressions, phrases and texts and allows for the identification of regularities in a corpus of texts (Beaudouin, 2016).…”
Section: Grasping Imaginaries Using Textual Data Analysis?mentioning
confidence: 99%
See 1 more Smart Citation
“…Textual data analysis can be defined as a set of methods which relies on statistics to analyse text corpora and on qualitative tools (Lebart et al, 2019). Textual data analysis differs from bibliometric methods: while the former was developed within linguistics (Tournier, 2010), the latter stems from scientometrics and more broadly from the development of statistics in scientific literature (Godin, 2006). Bibliometrics focuses on the analysis of information on publications (particularly authors and citations) and are often used to identify collaborations between authors and to map research fields (Newell and Cousins, 2015 offer an interesting example of bibliometrics applied to the analysis of the 'urban metabolism' metaphor), whereas textual data analysis focuses on words, expressions, phrases and texts and allows for the identification of regularities in a corpus of texts (Beaudouin, 2016).…”
Section: Grasping Imaginaries Using Textual Data Analysis?mentioning
confidence: 99%
“…To explain this gap, urban ecologists have underlined that ecologists previously disregarded urban areas and cities as possible study sites (Anderson and Elmqvist, 2012; Grimm et al, 2008; Marzluff et al, 2008; McDonnell, 1997; Niemelä et al, 2011), considering them ‘unworthy of scientific research’ (Wu, 2014: 211), and have mostly attributed this disdain to the perception of cities as unnatural (Gilbert, 1989; McDonnell, 1997; McDonnell and Pickett, 1993; Wu, 2014), as ‘detritus ecosystems ’ (Stearns, 1970: 1006), as ‘anti-life’ and inhospitable from a biological viewpoint (Sukopp, 1998). As Trepl (1996) provocatively summarises, ecology was an ‘anti-urban affair’ and embraced a romantic vision of nature associated with a condemnation of the modern city rather than merely commenting on the city’s inhospitable characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…Cette méthode s'est construite dès les années 1960 autour des travaux de linguistes influencés par le structuralisme et les approches quantitatives. Les premiers travaux, dits de lexicométrie, portaient essentiellement sur l'unité linguistique fondamentale qu'est le mot (Tournier, 2010). L'analyse des données textuelles a pour principal atout de permettre de « synthétiser le contenu (…) en faisant émerger des thématiques » (Garnier et Guérin-Pace, 2010 : p. 10).…”
Section: Le Mondeunclassified