Analyzing WhatsApp Chat Using Python Libraries

How many messaging apps there are in the PlayStore, in my opinion, is irrelevant. WhatsApp can't be replaced by anyone. These days, everyone's life depends on WhatsApp. Because of its user-friendly UI, WhatsApp is very popular right now. When you want to connect or communicate with someone, WhatsApp is the first messaging service that comes to mind. It's convenient for everyone to chat on WhatsApp. To send a message, simply launch the app, select Contact, and type. There you go. Given that WhatsApp receives more than 65 billion messages every single day, we can use WhatsApp chats to analyze conversations we have with friends, clients, or large groups of people. To learn intriguing insights about who is most active, who are ghosts (those who do not reply frequently), the most popular emoji, the busiest hours of the day, or the most popular terms, chat analysis on a WhatsApp group chat of college students is utilized. These would undoubtedly be some insightful discoveries to consider. This project uses python and its libraries to analyze the chat data.