This repository is dedicated to analyzing and visualizing sentiment patterns in social media data, providing insights into public opinion and attitudes towards specific topics, brands, or entities. The dashboard offers a detailed view of how different entities are perceived online, helping users to gauge overall sentiment and identify trends.
- Total Tweets: Overview of the total number of tweets analyzed, representing the data set's scope.
- Sentiment Distribution: Breakdown of sentiments into positive, negative, and neutral categories, reflecting public opinion.
- Entity-Specific Insights:
- Top Negative Sentiments: Entities that received the highest number of negative tweets.
- Top Positive Sentiments: Entities that garnered the most positive reactions.
- Top Neutral Sentiments: Entities that had a significant amount of neutral feedback.
- Sentiment Comparison: Visual comparison of tweet numbers across different sentiment categories, highlighting the most common public attitudes.
For those interested in the code behind the sentiment analysis, a Google Colab notebook is available here .