Social Media Sentiment Analysis

This repository contains code for analyzing and visualizing sentiment patterns in social media data. The purpose of the project is to gain insights into public opinion and attitudes towards specific topics or brands based on social media content.

Requirements

1. Python 3.x
2. pandas
3. matplotlib
4. seaborn
5. textblob
6. wordcloud

This GitHub repository encompasses a sentiment analysis and visualization project tailored for social media data. By utilizing Python scripts, the project aims to uncover public sentiments and attitudes towards particular topics or brands. Users can clone the repository, install the required dependencies, and execute the provided code on their own datasets. The output includes a bar plot showcasing sentiment distribution and a word cloud for a visual representation of the textual content.