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-fake-news-detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

3han

3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-319-70096-0_59

ai_in_finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anomaly-detection

Anomaly detection algorithm implementation in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artificial-intelligence

Complete MS AI Course

attn2d

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

azureocr

Using Azure Computer vision service

bbc-news-topic-modelling

bert_binary_text_classification

Accompanying code for the Medium article

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

complete-python-3-bootcamp

cookbook

The Data Engineering Cookbook

coursera-john-hopkins

Data Science

crackingthecodinginterviewsolutions

custom-named-entity-recognition

Building Custom named entity recognition for various problems

data-science--cheat-sheet

Cheat Sheets

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

dell_prod_recommend

detecting-fake-news-with-scikit-learn

Detecting Fake News with Scikit-Learn ( Machine Learning )

detecting_fake_news

Detecting Fake News with 52,000 article with %97 Accuracy

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

east

A tensorflow implementation of EAST text detector

ensemble_cnn_models_for_classification

Ensemble_CNN _Models_For_Classification.

fake-news-detection

Building a model using Machine Learning and NLP techniques to detect whether an article is fake or real

fake-news-detector

Real versus fake news