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

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/