This repository includes the Nature Language Processing Sentiment-Analysis part and the Rate My Professor website, including the database design.
Using hashing method to encode the password, and save it in the database. This job will increase the security of the database:
- The origin password is 123456, after hashing, it was encode to a 48 byte hashing code:
Using the hidden_tag function to increase the security of the website: when some hackers need to steal the info from your submit page, they will need to pass the Cross Site Request Forgery(CSRF) using hidden_tag().
- The detailed information is in https://dl.acm.org/doi/abs/10.1145/1455770.1455782, i.e. Robust defenses for cross-site request forgery.
- Authors of this paper : Adam Barth, Collin Jackson, John C. Mitchell)
- Using the NLP technique to do the sentiment analysis
- Using the LSTM and BERT network. training dataset: twitter. Test dataset: Jobs' talk in Standford
- Detailed information of LSTM(A. Graves, N. Jaitly and A. Mohamed, "Hybrid speech recognition with Deep Bidirectional LSTM," 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013, pp. 273-278, doi: 10.1109/ASRU.2013.6707742)
- Detailed Information of BERT(BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Author: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. arXiv:1810.04805)
