SnelSLiM, a user-friendly and fast tool to perform better keyword analysis through Stable Lexical Marker Analysis

Van de Poel, Bert;Speelman, Dirk
(2020) Computational Linguistics in the Netherlands Journal — Vol. 10, n° 1, p. 147-160 (2020)

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Authors
  • Van de Poel, BertUCLouvain
    Author
  • Speelman, DirkKU Leuven
    Author
Abstract
This paper introduces snelSLiM, a corpus linguistics tool to perform keyword analysis using Stable Lexical Marker Analysis. SLMA goes beyond regular keyword analysis by assuring stability across the documents within a corpus and can be used with a contrastive or specific reference corpus as well as a general reference corpus. With snelSLiM, it is easy to perform SLMA as well as explore the resulting keywords through a user-friendly web interface. Great performance, support for many corpus formats, collocational analysis of keywords and visualizations make it an attractive tool for initial exploration of new corpora. A demo version is available on http://demo.snelslim.org/
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Van de Poel, B., & Speelman, D. (2020). SnelSLiM, a user-friendly and fast tool to perform better keyword analysis through Stable Lexical Marker Analysis. Computational Linguistics in the Netherlands Journal, 10(1), 147-160. (Original work published 2020)