Sentimental Analysis & Prediction -Twitter.ipynb is using default Twitter dataset in ntlk and use Naive Bayes Classifier as Classifier and obtain 99.6% accuracy. Reference: https://www.digitalocean.com/community/tutorials/how-to-perform-sentiment-analysis-in-python-3-using-the-natural-language-toolkit-nltk
Sentimental Analysis - LSTM.ipynb is using Stanford sentiment treebank data and use LSTM as Classifier and able to detect sarcasm. Reference: https://towardsdatascience.com/sentiment-analysis-for-text-with-deep-learning-2f0a0c6472b5