Blauwal3-Textable 3.1.11

use regular expressions to segment letters, words, sentences, etc. or full-text query

use regexes to extract annotations from many input formats

import in-line XML markup (e.g. TEI)

include/exclude segments based on user-defined lists (stoplists)

filter segments based on frequency

easily generate random text samples

concordances and collocations, also based on annotations

segment distribution, document-term matrix, transition matrix, etc.

co-occurrence tables, also between different types of segments

lemmatization and POS-tagging via Treetagger

robust linguistic complexity measures, incl. mean length of word, lexical diversity, etc.

many advanced data mining algorithms: clustering, classification, factor analyses, etc.

Unicode-aware preprocessing functions, e.g. remove accents from Ancient Greek text

recode and restructure texts using regexes, e.g. rewrite CSV as XML

handles hundreds of text files

use Python script for custom text processing or to access external tools: NLTK, Pattern, GenSim, etc.

import text from keyboard, files, or URLs

process any kind of raw text format: TXT, HTML, XML, CSV, etc.

supports many text encodings, incl. Unicode

export results in text files or copy-paste

easy interfacing with Orange’s Text Mining add-on

user-friendly visual interface

ready-made recipes for a range of frequent use cases

extensive documentation

support and community forums