KhaledTofailieh/Corona-Virus-Sentiment-Analysis

In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification.

- Classes is: Extremely Positive, Positive, Extremely Negative, Negative.

- We do tweets cleaning, tokenization, normalization, also get the binary classes.

- Try to generate tweets from data.

- Vectorizing texts usiing different vectorization way: BOW, TF-IDF and finally Word Embedding.

- Train different Models(Classifiers) from Scikit-Learn library such as: SVM, Logistic Regression and MulinomialNB for classification.

- Train Deep Neural Networks Models with Tensorflow and Keras such as: LSTM, BiLSTM, CNN and FC for both multi class classification and binary classification.

- Finally we compare results and save the best Model.