TEXminer

TEXminer uses generic Text Mining Methods to analyze Unicode Files as plain Text or PDF.
The Text Database can be saved in XML where the orginal Text, the Sentence and Word Lists and additional Parameters (e.g. Abbreviations) are stored.
TEXminer allows Language Detection by Letter Frequency Analysis, finding important Words by
Cooccurrence Analysis, Determination of Central Expressions, Thematic Text Classification (also Semantic Groups) Fingerprint Comparison and Word Frequency.
Because TEXminer is not disigned to have a Reference Corpus, Thematic Model Statistics uses Language Models (lexicons) to have Background Knowledge about certain Languages (English, German, French, Spanish, Italian, Russian), which are derived from Decaleon Project.
The Thematic Models for Standard Vocabulary have been extended (spring 2015).
The Thematic Models for Technical Terms have been extended (2015).
The Thematic Models for additional Standard Vocabularies have been extended (2015-2023).