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Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

Project description

# 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).

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