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Using TensorFlow to automatically filter crypto-related spam comments on YouTube.

License: MIT License

Python 14.46% Jupyter Notebook 82.95% Swift 2.59%

yt-spam-classifier's Introduction

yt-spam-filter

Using TensorFlow to automatically filter crypto-related spam comments on YouTube. 🎬 See my video for more details: https://youtu.be/zSEYC3CCA1I

Repository structure

  • 00-CoreML test -> First test with Apple's CoreML.
  • 01-fetch-input-data -> Python script that fetches comments from YouTube and stores them in a CSV file
  • 02-rated-comments -> Dataset of comments from my channel, marked as spam (1) or not spam (0)
  • 03-tensorflow-training -> Jupyter notebook used to train the text classifier with TensorFlow
  • 04-inference -> Python script that runs periodically to filter latest comments on my channel

Installation

Clone this repo:

git clone https://github.com/Savjee/yt-spam-classifier.git

Install dependencies (might not be complete):

pip3 install -r requirements.txt

Create a .env file from the template, and fill in your YouTube API key and Channel ID

cp .env.dist .env

More instructions to follow.

Contribute

Feel free to fork or submit improvements but be gentle. This is my first ML and Python project (it probably shows).

yt-spam-classifier's People

Contributors

savjee avatar

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