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8. Resources
https://github.com/ThilinaRajapakse/simpletransformers
https://github.com/huggingface/transformers
https://github.com/huggingface/tokenizers
https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines
https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html
https://amitness.com/2020/05/git-log-of-bert/
https://towardsdatascience.com/bert-classifier-just-another-pytorch-model-881b3cf05784
https://blog.essen.ai/what-is-xlnet-and-how-does-it-work/
https://www.youtube.com/watch?v=XaQ0CBlQ4cY
https://www.youtube.com/watch?v=KN3ZL65Dze0
https://www.youtube.com/watch?v=l8ZYCvgGu0o&t=4s
https://www.kaggle.com/tanulsingh077/twitter-sentiment-extaction-analysis-eda-and-model
https://www.kaggle.com/sofieneressifi/twitter-sentiment-extraction-eda-and-modeling
https://www.kaggle.com/jihunlorenzopark/pretrain-with-another-twitter-dataset
https://www.kaggle.com/tarunpaparaju/twitter-challenge-roberta-sentiment-predictor
https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis
https://www.kaggle.com/alosat/twitter-categorization/comments#734695
https://www.kaggle.com/vaishvik25/albert-train-infer
https://www.kaggle.com/cdeotte/tensorflow-roberta-0-705