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Merge pull request #96 from AnFreTh/main
version 0.1.9
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README.md

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<div align="center">
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<img src="./docs/images/logos/STREAM_2.jpg" width="400"/>
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<a href="#get-started">
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<img src="./assets/stream-topic-gif.gif" width="800"/>
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</a>
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[![PyPI](https://img.shields.io/pypi/v/stream_topic)](https://pypi.org/project/stream_topic)
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<p>We present STREAM, a Simplified Topic Retrieval, Exploration, and Analysis Module for User-Friendly and Interactive Topic Modeling and Visualization. Our paper can be found <a href="https://aclanthology.org/2024.acl-short.41.pdf">here</a>.</p>
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<table>
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<tr>
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<td><img src="./docs/images/gif1.gif" alt="First GIF" width="400"/></td>
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<td><img src="./docs/images/gif2.gif" alt="Second GIF" width="400"/></td>
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</tr>
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</table>
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<h2> Table of Contents </h2>
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<td><a href="https://arxiv.org/abs/1703.01488">NeuralLDA</a></td>
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<td>Autoencoding Variational Inference For Topic Models</td>
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</tr>
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<tr>
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<td><a href="https://arxiv.org/abs/2008.13537">NSTM</a></td>
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<td>Neural Topic Model via Optimal Transport</td>
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</tr>
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</tbody>
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</table>
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</div>

assets/stream-topic-gif.gif

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docs/api/models/models.rst

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.. autoclass:: stream_topic.models.CBC
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:members:
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.. autoclass:: stream_topic.models.NSTM
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:members:

docs/conf.py

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"plotly",
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"matplotlib",
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"gensim",
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"octis",
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"nltk",
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"langdetect",
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"loguru",

docs/images/logos/gif1.gif

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docs/images/logos/gif2.gif

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docs/notebooks/examples.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "db",
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"display_name": "Python (stream_topic_venv)",
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"language": "python",
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"name": "python3"
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"name": "stream_topic_venv"
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},
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"language_info": {
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"codemirror_mode": {

docs/notebooks/quickstart.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python (stream_topic_venv)",
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"language": "python",
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"name": "python3"
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"name": "stream_topic_venv"
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},
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"language_info": {
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"codemirror_mode": {

requirements.txt

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transformers==4.40.2
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setfit==1.0.3
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gensim==4.2.0
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octis==1.13.1
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umap-learn==0.5.6
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wordcloud==1.9.3
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stream_topic/__version__.py

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"""Version information."""
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# The following line *must* be the last in the module, exactly as formatted:
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__version__ = "0.1.8"
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__version__ = "0.1.9"

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