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Text Mining in different languages

โœ Scribed by Lebart, Ludovic

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
147 KB
Volume
14
Category
Article
ISSN
8755-0024

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โœฆ Synopsis

The purpose of Text Mining is to describe and explore textual data, to uncover structural traits, and proceed to predictions. The "eld of application concerns Information Retrieval, processing responses to open-ended questions in sample surveys as well as processing textual corpora of a more general nature. At the intersection of Corpora Linguistics and Exploratory Statistical Analysis, a series of language independent tools and methods can perform most of the previously mentioned tasks, including the assessment and validation of the obtained results, be it visualization or categorization. Multiple confusion matrices calculated on test-samples characterize the quality of the prediction as well as the structure of errors of prediction. In the case of multinational surveys and corpora, they allow us to proceed to comparisons among several countries, in spite of the very heterogeneous character of the basic information (texts in di!erent languages).

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