This Python project uses the basics of NLP ( Natural Language Processing ) and produces the following results, when your WhatsApp Chat data is given as Input:
- Top 10 Most Used Emojis in the Chat, with their counts.
- Most Used Words in the Chat with their counts.
- A plot describing the most used words.
Language : Python ( Script )
Packages Required : matplotlib, nltk, emoji, tkinter, pandas, mplcairo
Input Needed : .txt file ( WhatsApp Chat Data )
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Co-Contributor : https://github.com/harshithmohan
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Download the .py file from this repository.
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Export the WhatsApp chat data , without media, as a .txt file from your WhatsApp.
( Link to Guide : http://www.transphone.net/android-transfer/export-whatsapp-messages.html ) -
Make sure the required Packages are installed, before proceeding.
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Run the script. A dialogue box opens, prompting you to choose the .txt File.
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After choosing the file, Results will be displayed in a HTML file, that you can share easily.
