Sentiment Analysis of COVID-19 Tweets

Sentimental analysis of COVID-19 tweets to analyse the public sentiments regarding COVID-19 pandemic and lock-down. Created a Visualization Dashboard (https://bit.ly/tsa_teamFam) for visualising sentiments. Technologies used: 1) IBM Watson Tone Analyzer 2) Web Scrapping 3) Data Analytics using Pandas, Numpy and Matplotlib 4) Tableau 5) Full Stack (HTML, CSS, JavaScript and Bootstrap) GitHub repository - https://github.com/SmartPracticeschool/SBSPS-Challenge-2598-Twitter-Sentiment-Analysis This project was under IBMHackChallenge2020 and built under team of 3.