WhatsApp Chat Analyzer is a robust tool engineered to offer granular analytics for WhatsApp conversations. Written in Python, this tool utilizes Plotly and Altair for data visualization, providing an enriched user interface through Streamlit. It empowers users to glean actionable insights from their chat data.
- Provides a comprehensive view into message frequencies, highlighting trends and periods of high activity.
- Offers an in-depth emoticon analysis to understand the emotional tone of conversations.
- Features dynamic filtering options to focus on specific timelines, individuals, or message types, enabling targeted data analysis.
- Identifies the busiest days or hours for individual or group chats, supporting efficient communication strategies.
- Python: The core programming language used for backend logic.
- Plotly: Employed for creating interactive and visually appealing charts.
- Altair: Another plotting library used for more specialized visualizations.
- Streamlit: A Python library used for web app creation and deployment, offering an interactive UI/UX.
Experience the live demo of WhatsApp Chat Analyzer by clicking here.
- Navigate to the Live Demo.
- Upload the exported WhatsApp chat data file.
- Utilize the interactive filters and charts to conduct your analysis.
The project is licensed under the MIT License.