Project 2: Sentiment Analysis of Twitter Dataset
In this project, I used a Twitter dataset to perform sentiment analysis on tweets about Pfizer vaccines. The goal of this project was to understand the overall sentiment of people towards the Pfizer vaccine on Twitter. I used natural language processing techniques and machine learning algorithms to classify tweets as positive, negative, or neutral towards the Pfizer vaccine. The dataset was preprocessed to remove stopwords, punctuations, and special characters. I also used data visualization techniques to present the results in an easy-to-understand format. The findings of this project revealed the general sentiment of people towards the Pfizer vaccine, the emotions associated with the vaccine, and the most frequent hashtags used in relation to the vaccine. This project not only helped me to understand how people feel about the Pfizer vaccine but also provided useful insights for organizations and individuals interested in monitoring public opinion about the vaccine.
