Sentiment-Analysis-of-COVID-19-tweets

This notebook include:

Data cleaning:

This process removes the URL, Date, Invalid spaces, symbols, wrong hashtag, numbers and stop wards.

Text Analusis:

finding most and less common words using Unigram and Bigram
finding spell error and correction it.

Trending Topics:

most hashtags, most locations.

Text Classification:

Bag of Words, TF-IDF, CNN, Bidirectional LSTM.