bert-base-emotion-sentiment-analysis
https://github.com/lowlevelml/bert-base-emotion-sentiment-analysis
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
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○Scientific vocabulary similarity
Low similarity (2.0%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: LowLevelML
- License: agpl-3.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 244 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Created over 3 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
License
Citation
README.md
Emotion Classification
Check this model on huggingface: Thamognya/Bert-Base-Emotion-Sentiment-Analysis
This is a emotional sentiment analysis review / comment / text classification with the BERT model from huggingface.co.
Machine Learning
Confusion Matrix for machine learning
Specification
- tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") or nltk
- Bert-Large-Uncased -> changed to bert-base-uncased
- pytorch
App
- django backend
- nextjs frontend
Owner
- Name: LowLevelML
- Login: LowLevelML
- Kind: organization
- Email: contact@thamognya.com
- Website: https://www.thamognya.com
- Repositories: 11
- Profile: https://github.com/LowLevelML
Like the name suggests, this is an collection of repos around machine learning or low level kernels or both and etc. which I think have potential to become big
Citation (CITATION.cff)
cff-version: 0.1.0 message: "If you use this software, please cite it: " authors: - family-names: "Thamognya" given-names: "Kodi" title: "My Research Software" version: 2.0.4 title: "Bert Base Emotion Sentiment Analysis" date-released: 2022-08-19 url: "https://github.com/LowLevelML/Bert-Base-Emotion-Sentiment-Analysis"