Sentiment-Analysis-for-Covid-19-Vaccine-related-tweets

• Exploratory data analysis on Covid-19 vaccine tweets and Vaccination progress dataset from Kaggle to understand vaccine roll out scenario in different countries for various vaccines.
• Used VADER for sentiment analysis and used Gensim word2vec on vaccine tweets dataset for word embedding.
• Implemented SVM, Gaussian Naïve bayes along with LSTM classification model with word2vec and keras embedding layer with 0.96 and 0.90 validation accuracy respectively. Did Topic modelling using LDA to retrieve important topics with details and did sentiment analysis on them.