chanalyze
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A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with :heart:
chanalyze
A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with :heart:
Now with concurrency support !!!
nomenclature
Chat + Analyze = chanalyze
motivation
- I was interested in learning how much time I'm spending on WhatsApp or in which conversation I'm more or less involved/ attached or at which part of day I'm more involved in Chatting etc.
- So I'm writing these scripts for analyzing WhatsApp Chat ( both Private & Group ), which can easily be exported into a *.txt file from WhatsApp Mobile Application.
- That *.txt is parsed, cleaned & objectified, so that it can be analyzed with ease.
- Using this tool, now I can understand each minute I spent on a certain Chat ( or may be how someone else spent ) or how many times someone started a conversation ( which might be a good indicator of interest of participant(s) towards Chat )
- For sake of Privacy test data file(s), which were used for plotting following chart(s), are kept private. Also Contact Name(s)/ Number(s) are partially grayed.
usage
- Install
chanalyze
from PyPI
$ python3 -m pip install --user chanalyze
- Make sure you've added
$HOME/.local/bin
to your$PATH
environment variable - Export target Whatsapp chat into
*.txt
file, while omitting media. - Now analyze your exported WhatsApp chat(s), using chanalyze
chanalysis ( Chat Analysis )
- [x] Total Contribution of Chat Participants
- [x] Hourly Contribution of Chat Participants
- [x] Activity of Chat Participants on every Minute of Day
- [x] Activeness of Chat
- [x] Conversation Initializing Chat Participant Identification ( using Mean & Median Delay ) - Reflecting Participant's interest towards Chat
- [x] Top Emojis used in Chat
- [x] Chat Activity HeatMap
- [x] Word Cloud from Messages