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top2vec

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1.0.36 top2vec-1.0.36-py3-none-any.whl

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Project: top2vec
Version: 1.0.36
Filename: top2vec-1.0.36-py3-none-any.whl
Download: [link]
Size: 33098
MD5: 2e4133ac615b2f5865aed3b5074c0a81
SHA256: 181fd3e3bbf8328ccf0455c32e51d445e56e3077f257a4a5150274628eeaaad9
Uploaded: 2024-11-14 23:48:28 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: top2vec
Version: 1.0.36
Summary: Top2Vec learns jointly embedded topic, document and word vectors.
Author: Dimo Angelov
Author-Email: dimo.angelov[at]gmail.com
Home-Page: https://github.com/ddangelov/Top2Vec
License: BSD
Keywords: topic modeling semantic search word document embedding
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: pandas
Requires-Dist: scikit-learn (>=1.2.0)
Requires-Dist: gensim (>=4.0.0)
Requires-Dist: umap-learn (>=0.5.1)
Requires-Dist: hdbscan (>=0.8.27)
Requires-Dist: wordcloud
Requires-Dist: transformers
Requires-Dist: tqdm
Requires-Dist: hnswlib; extra == "indexing"
Requires-Dist: tensorflow; extra == "sentence-encoders"
Requires-Dist: tensorflow-hub; extra == "sentence-encoders"
Requires-Dist: tensorflow-text; extra == "sentence-encoders"
Requires-Dist: torch; extra == "sentence-transformers"
Requires-Dist: sentence-transformers; extra == "sentence-transformers"
Provides-Extra: indexing
Provides-Extra: sentence_encoders
Provides-Extra: sentence_transformers
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 21132 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
top2vec/__init__.py sha256=src-vsyYmak6ubQpIQ3hEhwFfgcdMgOXeEb5nSLVp70 60
top2vec/embedding.py sha256=BiDh07Gd_8MMUERjTdLqKJPJqs_EoSkPnLTY1RxLdhM 5991
top2vec/top2vec.py sha256=XvDewfPzPNyOOZayyVK_JhUn0WyEC1G6Hx1xwMIlgxY 131671
top2vec-1.0.36.dist-info/LICENSE sha256=zbjHtcgdMrgOR9Xnz-FqfI2nvoGTxYAPwXt9KL3tXjw 1520
top2vec-1.0.36.dist-info/METADATA sha256=p6G9It2jqmBw_FS2PMc9Yh-UG6fJDJHiCrVJ0FgNnJs 22670
top2vec-1.0.36.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
top2vec-1.0.36.dist-info/top_level.txt sha256=WxoaiqtnKK31kZ7LNOurX_LftXn2wsQall26s_X9sqQ 8
top2vec-1.0.36.dist-info/RECORD — —

top_level.txt

top2vec