<ul><li>Sentiment analysis is a powerful tool to understand emotions and opinions in text data.</li><li>The blog post explains how to perform sentiment analysis on a dataset of tweets using Plotly, a Python library for interactive data visualization.</li><li>The dataset used in this analysis contains tweets related to the COVID-19 pandemic, labeled with sentiments ranging from extremely positive to extremely negative.</li><li>By storing the tweet data in a PostgreSQL database and utilizing Plotly for visualization, valuable insights can be gained into the sentiment of COVID-19 tweets.</li></ul>

Analyzing Sentiment Analysis Tweets with Plotly: A Step-by-Step Guide

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