FAKE NEWS CLASSIFIER : Build a system to identify unreliable news articles

Aim is to Develop a machine learning program to identify when an article might be fake news.

Dataset Description

train.csv : A full training dataset with the following attributes:

id: unique id for a news article
title: the title of a news article
author: author of the news article
text: the text of the article; could be incomplete
label: a label that marks the article as potentially unreliable

1: unreliable

0: reliable

We achieved Great results on testing and validation results. Various Deep Learning Model. Here we are using Model3: bigLSTM

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
.ipynb_checkpoints		.ipynb_checkpoints
dataset		dataset
fake_news_classifier		fake_news_classifier
funcyou @ dc695a5		funcyou @ dc695a5
.gitignore		.gitignore
.gitmodules		.gitmodules
README.md		README.md
app.py		app.py
contractions.json		contractions.json
fake_news_classifier.ipynb		fake_news_classifier.ipynb
model.png		model.png
model_app.png		model_app.png
model_results1.png		model_results1.png
prediction_on_test.ipynb		prediction_on_test.ipynb
preprocess.py		preprocess.py
saved_model.zip		saved_model.zip