The tweets posted within span of 24 hours by Pakistanis were constantly and daily analyzed to find the pattern of Panic over time. The sentiments were extracted from around 3k tweets daily and were classified as Patriotic, Hatred, Sad, Happy, Love etc. and were then summed up and plotted on website as Positive, Neutral, Negative. The project was successfully implemented
with 800 visitors daily on average.
NLP, Twitter Developer, Web Crawling, Hosting, Naive Bayes, SentimentAnalysis, Data Visualization