jigsaw-online-toxic-comment-classification
https://github.com/escanor797/jigsaw-online-toxic-comment-classification
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 -
○DOI references
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○Scientific vocabulary similarity
Low similarity (1.7%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: escanor797
- Language: Jupyter Notebook
- Default Branch: main
- Size: 380 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
Citation
README.md
Data Mining & Analytics
jigsaw-online-toxic-comment-classification
A comparison of different machine learning models and how well they work for a binary classification task.
Owner
- Login: escanor797
- Kind: user
- Repositories: 1
- Profile: https://github.com/escanor797
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit. # Visit https://bit.ly/cffinit to generate yours today! cff-version: 1.2.0 title: Jigsaw Toxic Comment Classification message: >- If you use this software, please cite it using the metadata from this file. type: software authors: - given-names: Rahul K Johny - given-names: Areeb Ahmad - given-names: Rohit Shinde repository-code: >- https://github.com/rkj43/Jigsaw_Toxic_Comment_Classification