Simple text analysis from the command line.

Homepage: http://learntextvis.github.io/textkit/

textkit is a series of small, unix-style tools that provide a suite of capabilities for dealing with text as data.

Think of textkit as basic natural language processing capabilities - from the command line.

Here are some of the cool things you can do with textkit.

Convert a document to a set of word tokens and remove all punctuation from the tokens:

textkit text2words input.txt | textkit filterpunc

Count top used words in a text:

textkit text2words alice.txt | textkit count --limit 20

Do the same, but with punctuation removed:

textkit text2words alice.txt | textkit filterpunc | textkit count --limit 20

$ pip install -U textkit
$ textkit --help

To test locally, clone the repo:

git clone git@github.com:learntextvis/textkit.git

Create a local virtual environment or conda environment.

Here is how I created my local conda environment for installing and testing textkit:

conda create -name textkit nltk

source activate textkit

Then I went into the textkit directory to install its requirements

cd textkit

pip install -r requirements.txt

Finally, I installed the local version of textkit using the --editable flag:

pip install --editable .

See more examples at the Quickstart guide.

• Python >= 2.6 or >= 3.3

• Docs: http://learntextvis.github.io/textkit/
• PyPI: https://pypi.python.org/pypi/textkit
• Issues: https://github.com/learntextvis/textkit/issues