王玺's repositories
DSTS_weibo_rumor
读Ma jing的文章后进行的复现工作，并进行了部分更改
FakeNewsNet
This is a dataset for fake news detection research
GLaDOS_checkin_auto
GLaDOS Checkin Automatically
ML_project_rumor-detect
using three method to get the weibo rumor detect
python-guide
Python中文指南：从零到一的零基础 Python 教程
weibo-rmdt
Detect rumors on Weibo by PyTorch.
Weibo2021-dataset
A weibo dataset with 499 false rumors and 519 non rumors.
weiboRumor-dataset
dataset
WeiboRumorDetect_bytextInformation
Detect weibo rumor by using text information
byte-of-python
Beginners book on Python - start here if you don't know programming
Covid-19-weibo-rumor-dataset
Covid-19 weibo rumor dataset, collected from 2020.1.22 to 2020.4.22
dev-sidecar
开发者边车，github打不开，github加速，git clone加速，git release下载加速，stackoverflow加速
EANN-KDD18
EANN: event-adversarial neural networks for multi-modal fake news detection
GLaDOS-checkin
GLaDOS-checkin，通过 github action 进行自动签到，每天延时一天，签到一定次数后奖励会变少。
GLaDOS_Checkin
GLaDOS_Checkin
GNN-FakeNews
A collection of GNN-based fake news detection models.
Introduction-NLP
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
MAUIL
The code and dataset for paper "MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage"
MDFEND-Weibo21
Source code and data in paper "MDFEND: Multi-domain Fake News Detection (CIKM'21)"
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Rumor_RvNN
Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018
STANKER
Code and datasets for EMNLP2021 paper “STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media”
WeFEND-AAAI20
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
weibo-public-opinion-datasets
Continuously updated Sina Weibo Public Opinion Datasets / 持续维护的微博舆情数据集
WWW2021
This is the official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.