/prodigy_da_task_04

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.

MIT LicenseMIT

Sentiment Analysis Dashboard

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.

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Features

  • 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.

Google Colab Notebook

For those interested in the code behind the sentiment analysis, a Google Colab notebook is available here .