Metadata-Version: 2.0
Name: pylda2vec
Version: 0.0.1
Summary: Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
Home-page: https://github.com/ONLPS/lda2vec
Author: ONLPS
Author-email: royalkingpin@gmail.com
Maintainer: ONLPS
Maintainer-email: royalkingpin@gmail.com
License: MIT
Keywords: lda,topic-models,text,text processing,nlp
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython

# lda2vec

-----

**Table of Contents**

* [Installation](#installation)
* [License](#license)

## Installation

lda2vec is distributed on [PyPI](https://pypi.org) as a universal
wheel and is available on Linux/macOS and Windows and supports
Python 3.6+.

```bash
$ pip install lda2vec
```

## License

lda2vec is distributed under the terms of the
[MIT License](https://choosealicense.com/licenses/mit).


