Sentiment Analysis of Tweets

Sentiment analysis is a powerful tool for analyzing people's emotions, attitudes, and opinions about a particular topic. In this project, we conducted sentiment analysis of tweets about the public sector of Pakistan using the Python programming language. We collected tweets through web scraping using the snscrape library, cleaned the data for analysis, applied different natural language processing (NLP) techniques, including NLTK, Vader, and Roberta, to classify the tweets as positive, negative, or neutral. Finally, we used Tableau to visualize the results and gain insights into the overall sentiment of people towards the public sector of Pakistan. These valuable insights about the country's public sector can aid policymakers and decision-makers.