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}}
}