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reddit-nlp's Introduction

Subreddit Classification Using NLP

Program for scraping subbreddits and storing them in various user-chosen ways, later loading data from multiple sources into a standard format to perform analysis and NLP classification.
Saves and extracts data from multiple sources.
Using configuration files and class definitions to seperate structure and function.

Description • Features • Future Features • File Descriptions • How To Use • Requirements • Credits • License

Description

Project Purpose:

Scrape subreddits with a simple script, allowing the user to easily configure the sort and save method across various methods and databases. Load data from multiple sources into a standard format for analysis, visualization, or NLP.

Features

  • Scrapes a list of subreddits
  • Saves data as CSV or SQLite to either local folder or S3
  • Option to run scraper from command line with config file.
  • Loading in of data in a standard format ready for modeling.
  • NLP to classify subreddit by post title and description.
  • Class and functions to run multiple models and compare results.
  • Visualizations of most and least common words between subreddits.

License

MIT

reddit-nlp's People

Contributors

datapointchris avatar dependabot[bot] avatar

Watchers

James Cloos avatar avatar Disruptive Collective avatar

Forkers

bigdatasciencegroup

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