Reddit Post Classifier

What is Reddit Post Classifier?

Reddit Post Classifier is an AI-powered categorization tool built on machine learning that automatically assigns posts to custom categories. It's ideal for researchers and moderators who need to systematically organize and analyze Reddit content at scale.

Key Features

• ML Categorization: Machine learning algorithms automatically classify posts
• Custom Categories: Define your own categorization scheme for your needs
• Research-Friendly: Designed specifically for academic and research applications
• Automated Tagging: Automatically tags posts without manual effort

Pricing

Reddit Post Classifier is open source and completely free to use.

Who Is Reddit Post Classifier Best For?

Reddit Post Classifier is perfect for researchers, academics, and moderators needing to organize and analyze large volumes of Reddit posts. It's ideal for content analysis, topic classification, and building datasets for machine learning models.

Pros and Cons

Pros

• AI-powered approach handles classification at scale
• Open source allows customization and transparency
• Customizable categories adapt to any research need

Cons

• Requires technical setup and command-line knowledge
• Not a hosted service means you manage the infrastructure

Alternatives to Reddit Post Classifier

If Reddit Post Classifier doesn't fit your needs, consider: AutoModerator (rule-based moderation), PRAW scripts (custom Python automation).

Frequently Asked Questions

What machine learning model does it use?

Reddit Post Classifier uses natural language processing models trained on Reddit content to understand post characteristics and categorize them accurately.

Can I train it on my own categories?

Yes, the open source nature allows you to train the classifier on custom datasets and categories specific to your research.