Metadata-Version: 2.2
Name: textplumber
Version: 0.0.2
Summary: Pipeline components for Sci-kit learn to extract relevant features from text data, including tokens, parts of speech, lexicon scores, document-level statistics and embeddings.
Home-page: https://github.com/polsci/textplumber
Author: Geoff Ford
Author-email: geoffrey.ford@canterbury.ac.nz
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn
Requires-Dist: lxml
Requires-Dist: spacy
Requires-Dist: textstat
Requires-Dist: model2vec
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: nltk
Requires-Dist: imbalanced-learn
Requires-Dist: supertree
Provides-Extra: dev
Requires-Dist: datasets; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Textplumber


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

Textplumber is released for beta testing.

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/polsci/textplumber):

``` sh
$ pip install git+https://github.com/polsci/textplumber.git
```

or from [pypi](https://pypi.org/project/textplumber/)

``` sh
$ pip install textplumber
```

### Documentation

Check out the [documentation](https://geoffford.nz/textplumber/).

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install textplumber in Development mode

``` sh
# make sure textplumber package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to textplumber
$ nbdev_prepare
```
