Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
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# 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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