https://github.com/eczy/imessage-analysis

https://github.com/eczy/imessage-analysis

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/eczy/imessage-analysis
• Owner: eczy
• Created: 2019-12-17T23:15:50.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-17T23:16:21.000Z (about 5 years ago)
• Last Synced: 2024-10-27T17:37:56.539Z (3 months ago)
• Language: Jupyter Notebook
• Size: 3.91 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# iMessage Analysis

This jupyter notebook reads Apple iMessage chat data and AddressBook data and

performs basic analytics and sentiment analysis. This has only been tested on

MacOS Mojave.

## Setup

This program runs as a Jupyter notebook installed via

[Anaconda](https://www.anaconda.com/) (or Miniconda).

1. Install Anaconda (or Miniconda) if it is not already installed.

2. Create and activate this project's environment by running .

`conda env create -f environment.yml; conda activate imessage-analysis`

3. Run `jupyter lab` (or `jupyter notebook` if the classic notebook interface

is preferred). This should open an interface in a browser window.

4. Copy `chat.db` from `~/Library/Messages/chat.db` and `AddressBook-v22.abcddb`

from `~/Library/Application Support/AddressBook/Sources` into the current

directory (select the sources folder with your primary contacts list).

5. Run the full notebook to produce statistics and figures.