jiqis Goto Github PK

2016-10-facebook-fact-check

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

a-deep-learning-approach-for-automatic-detection-of-fake-news

Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya

berkeleyparser

Automatically exported from code.google.com/p/berkeleyparser

bigcn

Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

code_framework_pytorch-master

course-project_natural-language-processing

These repository contains projects of (Fudan University) DATA130006: Introduction to Natural Language Processing

csi-code

CSI: A hybrid deep model for fake news detection

csi-code-1

a hybrid deep neural network for fake news detection based on CSI paper

distilbert-attention-news-stance-detection

The aims this program is to doing Multi class classification for FNC-1 Dataset. I built in simple way.

eann-kdd18

EANN: event-adversarial neural networks for multi-modal fake news detection

early-fakenews-detection

Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks

erine_news_classification

the java solution for the part of LinkedList in leetcode

fake-news-detection-liar-pytorch

Fake News Detection by Learning Convolution Filters through Contextualized Attention

fake-news-detection-system

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

fake_news_detection

Fake News Detection in Python

fake_news_prediction

Fake news is a type of yellow journalism or propaganda that consists of deliberate misinformation or hoaxes spread via traditional print and broadcast news media or online social media. --- Wikipedia. Data are from William Yang Wang, "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. 12.8K short texts are abstracted from PolitiFact.com, which provides detailed analysis report and links to source documents for each case. Data are categorized into 6 classes. And they introduce a multi-class classification problem.

fakenews

fakenews-1

Fake news detection using Deep Learning

fakenewsdata1

This repository contains two independent news datasets used in the 2017 study: "This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News"

fakenewsnet

This is a dataset for fake news detection research

fnc-1

fnd

hello-world

just another repority

lstm-cnn_classification

machine-learning-note

examples for machine learning methods

misinfo_spread

nlp_learning

nltk_data

NLTK Data

pytorch_bert_addons

Inspired by pretrained-pytorch-bert, with a few add-ons to deal with new vocabulary, and to explore the behaviour of the algorithm. New heads for multilabelling.