Ainaganiu/SENTIMENT-ANALYSIS-WITH-POWER-BI-NIGERIA-ELECTION-TWEETS

This project, “SENTIMENT ANALYSIS WITH POWER BI (NIGERIA ELECTION TWEETS),” aims to analyze the sentiments of people on the 2023 Nigeria Presidential Election using Twitter data. The goal is to create a real-time dashboard that tracks the sentiments of people on the three main presidential contenders. # SENTIMENT ANALYSIS WITH POWER-BI NIGERIA ELECTION-TWEETS This undertaking, named "Sentiment Analysis of the 2023 Nigeria Presidential Election Tweets," delved into data analytics to assess public sentiment towards the candidates post-election. By harnessing Twitter data, the project meticulously tracked and evaluated sentiments related to the three main presidential contenders. The resulting report offers a comprehensive insight into post-election public perceptions, contributing valuable analytical perspectives for understanding the dynamics of the electoral process. ## About the Dataset The dataset utilized in this analysis was sourced from Kaggle, a prominent platform for data science and analytics resources. This dataset served as the foundation for conducting comprehensive sentiment analysis on the 2023 Nigeria Presidential Election Tweets, facilitating an in-depth exploration of public sentiment towards the candidates and their electoral journey. Dataset Link ### Data Columns for Sentiment Analysis of 2023 Nigeria Presidential Election Tweets The dataset extracted from Kaggle comprises the following key columns, each contributing to a comprehensive analysis of sentiment in relation to the 2023 Nigeria Presidential Election: 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* …