https://github.com/abdelrahman-amen/active_learning_in_nlp_using_small_text_technique
This project demonstrates active learning for text classification using the Small-Text library on the IMDB dataset. A logistic regression model is trained iteratively, selecting the most uncertain samples for labeling with a smart query strategy. The approach highlights efficient learning with minimal labeled data, improving model performance.
https://github.com/abdelrahman-amen/active_learning_in_nlp_using_small_text_technique
activelearning imdb logistic-regression nlp python sklearn smalltext tfidf-vectorizer uncertainty
Last synced: about 2 months ago
JSON representation
This project demonstrates active learning for text classification using the Small-Text library on the IMDB dataset. A logistic regression model is trained iteratively, selecting the most uncertain samples for labeling with a smart query strategy. The approach highlights efficient learning with minimal labeled data, improving model performance.
- Host: GitHub
- URL: https://github.com/abdelrahman-amen/active_learning_in_nlp_using_small_text_technique
- Owner: Abdelrahman-Amen
- Created: 2025-01-25T00:00:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-25T00:16:57.000Z (over 1 year ago)
- Last Synced: 2025-03-20T15:14:04.784Z (about 1 year ago)
- Topics: activelearning, imdb, logistic-regression, nlp, python, sklearn, smalltext, tfidf-vectorizer, uncertainty
- Language: Jupyter Notebook
- Homepage:
- Size: 52.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0