LeMATo - LexicoMetric Analysis TOol

LeMATo - LexicoMetric Analysis TOol

Abstract

Discourse analysis aims to reveal connections between text or speech to institutional structures, furthermore, discourse analysis connects text to historical or social context. Several disciplines analyse a text in different ways. In social sciences and humanities, content analysis has become the standard approach. Content analysis starts with a research question and the formulation of appropriate hypotheses. These presumptions before analysing text are incompatible with discourse analysis. In lexicometrics, the process of interpretation is shifted to the end of the analysis and is, therefore, suitable for discourse analysis. Here we present Lexico-Metric Analysis TOol (LeMATo), a web application which analyses the text in a lexicometric way. LeMATo is built upon the ideas published in [33] and contains their four approaches to analyse text. LeMATo enables the analysis of frequencies and a concordance analysis on a corpus or particular parts of it. In the analysis of sub-corpora and the co-occurrence analysis LeMATo examines significant terms of text units in contrast to individual parts of the corpus. We provide a download of LeMATo from https://github.com/perdacherMartin/LeMATo.

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Authors
  • Perdacher, Martin
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Shortfacts
Category
Thesis (Masters)
Divisions
Data Mining
Subjects
Webentwicklung, Webanwendungen
Informatik in Beziehung zu Mensch und Gesellschaft
Date
2016
Official URL
http://othes.univie.ac.at/41123/1/2016-02-18_11426...
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