SecureGPT
- https://www.kaggle.com/datasets/rmisra/news-category-dataset/data
- https://pypi.org/project/bbc-news/
- https://www.gdeltproject.org/
- 1775
- https://apify.com/lukaskrivka/article-extractor-smart This was used as it would save time with the content pre-processing such as removing special characters and splitting words, which are both common operations in NLP but not withstanding this, the preprocessing pipeline for NLP still remains complex. For example: https://www.kaggle.com/code/gunesevitan/nlp-with-disaster-tweets-eda-cleaning-and-bert?scriptVersionId=28164619&cellId=30
- 1491