https://github.com/ayazkhan27/anonymity
This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.
https://github.com/ayazkhan27/anonymity
bert-fine-tuning bert-model machine-learning natural-language-processing python r randomforestregressor sentiment-analysis visualization
Last synced: 16 days ago
JSON representation
This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.
- Host: GitHub
- URL: https://github.com/ayazkhan27/anonymity
- Owner: ayazkhan27
- License: apache-2.0
- Created: 2024-04-13T14:55:12.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-08-26T01:29:46.000Z (10 months ago)
- Last Synced: 2025-08-26T03:37:09.463Z (10 months ago)
- Topics: bert-fine-tuning, bert-model, machine-learning, natural-language-processing, python, r, randomforestregressor, sentiment-analysis, visualization
- Language: R
- Homepage:
- Size: 18.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- License: LICENSE