senti-c

View on PyPIReverse Dependencies (0)

0.2.0 senti_c-0.2.0-py3-none-any.whl

Wheel Details

Project: senti-c
Version: 0.2.0
Filename: senti_c-0.2.0-py3-none-any.whl
Download: [link]
Size: 50858
MD5: e4b0756dd9e0e0eed1b35acf19a9405f
SHA256: c4bff42581a7b2e2cb6f440080d445fd903795dd3b25c74fbded468b45386981
Uploaded: 2022-04-13 08:35:55 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: senti-c
Version: 0.2.0
Summary: Traditional Chinese sentiment analysis tool based on BERT.
Author: Julie Tu and Hsin-min Lu
Author-Email: luim[at]ntu.edu.tw
Home-Page: https://github.com/hsinmin/senti_c
License: MIT
Keywords: traditional chinese,sentiment analysis,BERT,transformer,transfer learning
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Software Development :: Build Tools
Requires-Python: >=3.7
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy (==1.4.1)
Requires-Dist: tensorflow (==2.2.0)
Requires-Dist: torch (<1.9.9,>1.0)
Requires-Dist: transformers (==2.11.0)
Description-Content-Type: text/markdown
[Description omitted; length: 6714 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
senti_c/__init__.py sha256=Q-3VlfkMxORadA-HsiS-Fl2yvGI2vhUFnH_KsStAD2Y 281
senti_c/aspect_model_finetuning.py sha256=OsjGKFIb6LiLtrZsZJEpaDl1ao8tiHL8XgjRq-h686E 30672
senti_c/aspect_sentiment_analysis.py sha256=QCyTNMx1yRI20iIyRWO5bEbuA9vk8EubUnrOsRemBbs 20695
senti_c/model_structure.py sha256=3PwHx9QkvlznkgADcbr-KRsSAqvCyJuqZd5iMDdbeyY 17198
senti_c/sentence_model_finetuning.py sha256=biaSSo9os9oVE1thN3dNhIIJcZgZc2K7Wn6PxKUe5p4 30559
senti_c/sentence_sentiment_analysis.py sha256=CKHaK_NhcaW8UHfDX-RBlbcU8c4M4TgPvAzr-NiF4Iw 18759
senti_c/pretrained_model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
senti_c/pretrained_model/chinese_aspect_model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
senti_c/pretrained_model/chinese_sentence_model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
senti_c/utils/__init__.py sha256=YjcS16Dc5Xp1Mml2P_pcRKuarxNle0GmbzKEPpa-oyw 408
senti_c/utils/aspect_processor.py sha256=7SofiIpxQPSJ92Q-ZYcwUz11i24qbshEkXQygt6qnV8 17383
senti_c/utils/general.py sha256=WV84a9VKzEO6Z83_dz-3WR_UEilTDj95K4ZSo_iLXwM 6063
senti_c/utils/sentence_processor.py sha256=LkGXC_LITDe_JDp6fHEBHUeCVhnA_zcvTo8W01Gfek8 8453
senti_c-0.2.0.dist-info/METADATA sha256=b_CJPfxk_pOftc6q1X0WhJcDfe8JeOm_bbolo8K6pIo 8670
senti_c-0.2.0.dist-info/WHEEL sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY 92
senti_c-0.2.0.dist-info/top_level.txt sha256=5vUmjp7b0Dqr9EoYqUTg9SwxYOxuZQfOSgI40tUEfio 8
senti_c-0.2.0.dist-info/RECORD

top_level.txt

senti_c