A Multi-relational Graph-Based Twitter Account Detection Benchmark

The page lists recent research developments in the area of Stance Learning.

Multi-dataset stance detection and robustness experiments

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

🧠 NLP笔记，入门概念，基础知识，研究方法，顶会研读

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Final project for NLP(DATA130006) in Fudan university.

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

MoLE: Cross-Domain Label-Adaptive Stance Detection

Detection of two phases (swing and stance) phase from the IMU datasets.

A transformer-based language model trained on politics-related Twitter data. This repo is the official resource of the paper "PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter", LREC 2022

This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "The Longest Month: Analyzing the Dynamics of Opinions Regarding COVID-19 Vaccination from Tweets in the Month following the First Vaccine Announcement" published in IEEE Access.

Code and data for EMNLP '17 paper "Human Centered NLP with User-Factor Adaptation"

Dataset associated with the "Stance Prediction for Contemporary Issues: Data and Experiments" SocialNLP@ACL2020 paper

[DASFAA2023] Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies (code&data)

Implicit Stance Prediction on Political Debates using Speech Features

an approach based on deep ensemble learning

The PyTorch codebase for the NAACL 2021 paper - "tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets"

Stance and Gender Detection in Tweets on Catalan Independence

[ACL 2022] JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection