Package for performing Reddit-based text analysis

Includes:

• Document tokenizer with myriads of options, including Reddit- and Twitter-specific options
• Tools to build and tune the most popular text classification models without any hassle
• Functions to easily collect Reddit comments from Google BigQuery and Twitter data (including tweets beyond 3200 tweets limit)
• Instruments to help you build more efficient Reddit-based models and to obtain RedditScores
• Tools to use pre-built Reddit-based models to obtain RedditScores for your data

Full documentation and tutorials live here: http://redditscore.readthedocs.io

To install package:

pip install git+https://github.com/crazyfrogspb/RedditScore.git

If you want to be able all features of the library, also install these dependencies:

pip install Cython pybind11 selenium keras tensorflow tensorflow-gpu nltk pandas-gbq
pip install git+https://github.com/crazyfrogspb/tweepy.git
git clone https://github.com/crazyfrogspb/fastText.git
cd fastText
pip install .

• Cython, pybind11, fasttext - for training fastText models
• keras, tensorflow, tensorflow-gpu - for training neural networks
• nltk - for using stemming and NLTK stopwords lists
• pansas-gbq - for collecting Reddit data
• selenium, tweepy - for collecting Twitter data

To cite:

{
  @misc{Nikitin2018,
  author = {Nikitin, E.},
  title = {RedditScore},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/crazyfrogspb/RedditScore}}
}