NLP For WhatsApp Chats | Data Science | Machine Learning | Python

In this article, I will use NLP to analyze my WhatsApp Chats. For NLP of WhatsApp chats, you need to extract the whatsapp chats from your smartphone.

Natural Language Processing or NLP is a field of Artificial Intelligence which focuses on enabling the systems for understanding and processing the human languages. In this article, I will use NLP to analyze my WhatsApp Chats. For some privacy reasons, I will use Person 1, Person 2 and so on in my WhatsApp Chats.

Get The Whatsapp Data for NLP

If you have never exported your whatsapp chats before, don’t worry it’s very easy. For NLP of WhatsApp chats, you need to extract the whatsapp chats from your smartphone. You just need to open any chat in your whatsapp then select the export chat option. The text file you will get as a return will look like this:

["[02/07/2017, 5:47:33 pm] Person_1: Hey there! This is the first message",
 "[02/07/2017, 5:48:24 pm] Person_1: This is the second message",
 "[02/07/2017, 5:48:44 pm] Person_1: Third…",
 "[02/07/2017, 8:10:52 pm] Person_2: Hey Person_1! This is the fourth message",
 "[02/07/2017, 8:14:11 pm] Person_2: Fifth …etc"]

I will use two different approaches for the NLP of WhatsApp Chats. First, by focusing on the fundamentals of NLP and the other is by using the datetime stamp at the starting of every conversation.

by aman kharwal data science machine learning nlp python whatsapp

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