TherapeuticNLP

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1.0.0 therapeuticnlp-1.0.0-py3-none-any.whl

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Project: TherapeuticNLP
Version: 1.0.0
Filename: therapeuticnlp-1.0.0-py3-none-any.whl
Download: [link]
Size: 20860
MD5: 4517959869bee6a76d40e180ee26debe
SHA256: 1534002ebdc23f3820a2dac28e7eb6cae2b02e6a4697e697c280b316c1ec1e69
Uploaded: 2025-03-03 07:34:09 +0000

dist-info

METADATA

Metadata-Version: 2.2
Name: TherapeuticNLP
Version: 1.0.0
Summary: A multi-dimensional Natural Language Processing (NLP) framework for analyzing and assessing the quality of therapeutic conversations
Author: Roy Niloy, Sarmed Shaya, Dylan Weston and Zachary Cote
Author-Email: "Roy Niloy, Sarmed Shaya, Dylan Weston and Zachary Cote" <its.royniloy[at]gmail.com>
Home-Page: https://github.com/R-Niloy/Estimating-Quality-in-Therapeutic-Conversations-A-Multi-Dimensional-NLP-Framework
Project-Url: Homepage, https://github.com/R-Niloy/Estimating-Quality-in-Therapeutic-Conversations-A-Multi-Dimensional-NLP-Framework
Project-Url: Bug Tracker, https://github.com/R-Niloy/Estimating-Quality-in-Therapeutic-Conversations-A-Multi-Dimensional-NLP-Framework/issues
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Requires-Dist: pandas
Requires-Dist: nltk
Requires-Dist: transformers
Requires-Dist: promcse
Requires-Dist: sentence_transformers
Requires-Dist: scipy
Requires-Dist: statistics
Requires-Dist: openpyxl
Requires-Dist: scikit-learn
Requires-Dist: numpy
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: home-page
Dynamic: requires-python
License-File: LICENSE
[Description omitted; length: 2885 characters]

WHEEL

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top_level.txt

TherapeuticNLP

entry_points.txt

therapeutic-nlp = TherapeuticNLP.scripts.run_extraction:main