https://github.com/manjit-baishya-datascience/sentiment-analysis-using-bert
This project demonstrates how to perform sentiment analysis using BERT (Bidirectional Encoder Representations from Transformers), a powerful deep learning model for Natural Language Processing (NLP).
https://github.com/manjit-baishya-datascience/sentiment-analysis-using-bert
bert pipelining sentiment-analysis transformers
Last synced: about 1 year ago
JSON representation
This project demonstrates how to perform sentiment analysis using BERT (Bidirectional Encoder Representations from Transformers), a powerful deep learning model for Natural Language Processing (NLP).
- Host: GitHub
- URL: https://github.com/manjit-baishya-datascience/sentiment-analysis-using-bert
- Owner: manjit-baishya-datascience
- Created: 2024-09-01T19:51:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-31T13:57:45.000Z (about 1 year ago)
- Last Synced: 2025-03-31T14:51:57.142Z (about 1 year ago)
- Topics: bert, pipelining, sentiment-analysis, transformers
- Language: Jupyter Notebook
- Homepage:
- Size: 283 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0