https://github.com/itzmeanjan/chanalyze

A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with :heart:
https://github.com/itzmeanjan/chanalyze

chat-analysis data-analysis datascience dataviz matplotlib python3 visualization whatsapp whatsapp-chat whatsapp-chat-analyzer

Last synced: 3 months ago
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A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with :heart:

• Host: GitHub
• URL: https://github.com/itzmeanjan/chanalyze
• Owner: itzmeanjan
• License: mit
• Archived: true
• Created: 2019-10-05T14:09:19.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-25T14:02:53.000Z (over 1 year ago)
• Last Synced: 2024-09-26T11:23:37.703Z (3 months ago)
• Topics: chat-analysis, data-analysis, datascience, dataviz, matplotlib, python3, visualization, whatsapp, whatsapp-chat, whatsapp-chat-analyzer
• Language: Python
• Homepage: https://itzmeanjan.github.io/chanalyze/
• Size: 5.98 MB
• Stars: 22
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# chanalyze

![banner](plots/wordCloudOfMessagesByAnjan.png)

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

```bash

$ 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](docs/totalContribution.md)

- [x] [Hourly Contribution of Chat Participants](docs/hourlyContribution.md)

- [x] [Activity of Chat Participants on every Minute of Day](docs/contributionByMinute.md)

- [x] [Activeness of Chat](docs/chatActiveness.md)

- [x] [Conversation Initializing Chat Participant Identification _( using Mean & Median Delay )_ - Reflecting Participant's interest towards Chat](docs/conversationStartingPerson.md)

- [x] [Top Emojis used in Chat](docs/emojiStat.md)

- [x] [Chat Activity HeatMap](docs/heatmap.md)

- [x] [Word Cloud from Messages](docs/wordCloud.md)