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GitHub / harshita-chopra / Reddit-Flair-Detection

This project aims at predicting the flair or category of Reddit posts from r/india subreddit, using NLP and evaluation of multiple machine learning models. The best model was saved to predict flair when the user enters URL of a post.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshita-chopra%2FReddit-Flair-Detection

Stars: 1
Forks: 0
Open Issues: 3

License: None
Language: Jupyter Notebook
Repo Size: 70.3 MB
Dependencies: 37

Created: about 4 years ago
Updated: over 1 year ago
Last pushed: almost 2 years ago
Last synced: 22 days ago

Topics: eda, latent-semantic-analysis, machine-learning, natural-language-processing, praw, reddit

Files

Readme

Dependencies

requirements.txt pypi

Flask ==1.1.1
Werkzeug ==0.16.0
en-core-web-lg ==2.2.5
en-core-web-sm ==2.2.5
import-ipynb ==0.1.3
json5 ==0.8.5
jsonschema ==3.0.2
jupyter ==1.0.0
jupyterlab ==1.1.4
matplotlib ==3.1.1
mlxtend ==0.17.2
nltk ==3.4.5
notebook ==6.0.1
numpy ==1.16.5
numpydoc ==0.9.1
pandas ==0.25.1
pandas-datareader ==0.8.1
pipreqs ==0.4.10
plotly ==4.5.0
praw ==6.5.1
prawcore ==1.0.1
regex ==2020.2.20
requests >=2.20.0
scikit-learn ==0.21.3
tldextract ==2.2.2
tqdm ==4.43.0
virtualenv ==20.0.18
wordcloud ==1.6.0

rfd-webapp/requirements.txt pypi

Flask ==1.1.1
Werkzeug ==0.16.0
gunicorn ==20.0.4
nltk ==3.4.5
pandas ==0.25.1
praw ==6.5.1
requests >=2.20.0
scikit-learn ==0.21.3
tldextract ==2.2.2