A reading text analysis tool
Text analysis tool written in Python 3.
Drat is a tool that analyzes reading texts and produces a brief report which gives a readability score and the number of uncommon words (according to the General Service List) in the text. It also lists all of these uncommon words (if you choose the verbose option).
Drat supports docx, odt, ods, odp files as well as text files and urls.
You can also analyze multiple texts / links by creating a text file with the filenames / links written in it.
drat [-h] [-v] [-w wordlist-file] file-or-url
- multiple files, or urls, can be analyzed
- the files can be text files, docx files, or odf files
- a list of urls, or files, written in a text file can be redirected to drat: e.g., drat < list-of-urls.txt
- -w use an additional wordlist(s)
- This wordlist needs to be a text file with each word on a separate line
- More than one wordlist can be used
For example, the following command will analyze an office (Writer) document called ‘NorwegianBlue.odt’:
The -w option will let you filter out additional words:
drat -w euphemisms_death.txt NorwegianBlue.odt
And this command will download the following url and analyze the text in it:
It is also possible to analyze several files in one command:
drat CastleAaaarrrggh.txt LuvinmyTummy.docx PininFjords.odt
The following command uses a text file with links in it (one link per line) and parses the links in it:
drat < list-of-urls.txt
Adding the -v option to any of the above commands will give you a list of the uncommon words.
- More support for analyzing the complexity of texts.
- Support other languages.
Python3 and requests.
Drat is a recursive acronym which either stands for Drat is a Reading Analysis Tool or Drat is a Rabid Assessor of Texts.
Drat is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.