Overview
This tool is designed to access and analyze tweets using the Twitter API and Tweepy, a Python library for accessing the Twitter API. It focuses on extracting, processing, and visualizing data from Twitter, particularly for user timelines and specific hashtags.
Features
- Access Twitter Data: Utilizes Tweepy to access Twitter data through the Twitter API.
- OAuth Authentication: Securely authenticates user credentials.
- Timeline Extraction: Retrieves the latest 3200 tweets from a predefined Twitter account's timeline.
- Data Cleaning: Cleans tweets by removing mentions, hashtags, retweets, and links.
- Sentiment Analysis: Analyzes tweets for subjectivity, polarity, and overall sentiment.
- Data Visualization: Creates a dashboard using Dash to display tweet information, including sentiment analysis, retweet count, and date.
- Advanced Data Analysis: Uses PandasGUI for further analysis, including word clouds, scatter plots for sentiment analysis, and bar charts for polarity evaluation.
- Export Data: Allows exporting data to Excel and CSV formats.
Example Output
