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Some important links:

• https://huggingface.co/datasets
• https://ieeexplore.ieee.org/document/9162683
• https://medium.com/@ODSC/20-open-datasets-for-natural-language-processing-538fbfaf8e38
• https://www.nist.gov/system/files/documents/2019/07/15/s2-p3-natural_language_processing_for_regulatory_compliance_requirements.pdf
• https://towardsdatascience.com/a-gentle-introduction-to-natural-language-processing-e716ed3c0863
• https://monkeylearn.com/blog/definitive-guide-natural-language-processing/
• https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63
• https://towardsdatascience.com/machine-learning-nlp-text-classification-using-scikit-learn-python-and-nltk-c52b92a7c73a
• https://freecontent.manning.com/sentence-classification-in-nlp/
• https://docs.google.com/document/d/1iywl9Ie-PKJH5Cg4OBiq1Ca-FLTTRW8r_aZFkyCvc8o/edit?usp=sharing (good-dataset)
• https://github.com/tosdr/browser-extensions
• https://colab.research.google.com/drive/15hWpfimK8Wk_pXNJQoDwlSEqOLhvHCrG?usp=sharing (model)
• https://docs.google.com/document/d/19JUI9pJASJLFDLx1XdIKlzgbAmUDTmDmDMekujuNk64/edit?usp=sharing (bad-dataset)
• https://arxiv.org/abs/2004.12158
• https://towardsdatascience.com/using-nlp-to-understand-laws-95278624ae5
• https://colab.research.google.com/drive/16jJiKG72KHQprMihn0-_qebncjjWagSl?usp=sharing (web scraping)
• https://deepnote.com/project/Privacy-Protector-3mSU6XkyRb-OzpftTbhDfg/%2Fprivacy_policy_predictor.ipynb
• https://towardsdatascience.com/create-a-complete-machine-learning-web-application-using-react-and-flask-859340bddb33
• https://towardsdatascience.com/how-to-collect-data-from-any-website-cb8fad9e9ec5