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

Authors

  • Bert Van de Poel UCLouvain
  • Dirk Speelman KU Leuven

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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Published

2020-12-12

How to Cite

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, 147–160. Retrieved from https://clinjournal.org/index.php/clinj/article/view/111

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Section

Articles