rohit211-s/Sentiment-Analysis-of-2023-Nigerian-Presidential-Election-Tweets-Using-PowerBI

This project analyzes public opinion on the main candidates in the 2023 election using Twitter data. It captures post-election sentiments, providing insights into Nigeria’s political landscape and public opinion dynamics. # Sentiment Analysis of 2023 Nigerian Presidential Election Tweets Using PowerBI This project, titled "Public Sentiment Evaluation of Nigerian 2023 Presidential Election Tweets," leverages data analytics to explore public opinion regarding the candidates in the 2023 presidential election. Utilizing Twitter data, the study systematically captures and assesses the sentiment expressed toward each of the three primary presidential contenders in the aftermath of the election. The report offers a detailed perspective on post-election sentiments, providing valuable insights into the political atmosphere and public sentiment dynamics in Nigeria. ## About the Dataset The dataset supporting this analysis was obtained from Kaggle, a leading data science and analytics platform, and serves as the backbone for the sentiment analysis of the 2023 Nigerian Presidential Election Tweets. The dataset facilitates a deep dive into public opinion surrounding the candidates and their election journey. Dataset Link ### Key Columns in the Dataset The dataset comprises several essential columns, each adding valuable information for a robust sentiment analysis on the 2023 Nigeria Presidential Election. These include: 1. **ID**: Unique identifier for each tweet. 2. **User Name**: The username associated with the tweet. 3. **User Location**: Location details provided by the user. 4. **User Description**: A brief description provided by the user. 5. **User Created**: The date when the user's account was created. 6. **User Followers**: Number of followers the user has. 7. **User Friends**: Number of friends or accounts the user follows. 8. **User Favorites**: Number of tweets the user has marked as favorites. 9. **User Verified**: Indicates whether the user's account is verified. 10. **Date**: The date and time when the tweet was posted. 11. **Text**: The content of the tweet itself. 12. **Hashtags**: Any hashtags included in the tweet. 13. **Source**: The source from which the tweet was pos …