Categorisation Techniques in Computer-Assisted Reading and Analysis of Texts (CARAT) in the Humanities |
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Authors: | Jean-Frédéric de Pasquale and Jean-Guy Meunier |
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Affiliation: | (1) Laboratoire d'Analyse Cognitive de l'Information (LANCI), Université du Québec à Montréal (UQAM), C.P. 8888 Succ. Centre-Ville, Montréal, Québec, Canada H3C 3P8;(2) Laboratoire d'Analyse Cognitive de l'Information (LANCI), Université du Québec à Montréal (UQAM), C.P. 8888 Succ. Centre-Ville, Montréal, Québec, Canada H3C 3P8 |
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Abstract: | There are two important strategies incomputer-assisted reading and analysis of text(CARAT). The first relates to theclassification process, and the second pertainsto the categorisation process. These twooften-interrelated operations have beenregularly recognised as essential components oftext analysis. However, the two operations arehighly time-consuming. A possible solution tothis problem calls upon more inductive orbottom-up strategies that are numerical andstatistical in nature. In our own research, wehave been exploring a few of these techniquesand their combination. We now know, through ourown past research and others' work, that theclassification methods allow a good empiricalthematic exploration of a corpus. Morespecifically, in this paper we shallconcentrate on the problem of assisting theautomatic categorisation of small segments of aphilosophical text into a set of thematiccategories. |
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Keywords: | automatic text categorization text analysis text classification |
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