A Multi-relational Graph-Based Twitter Account Detection Benchmark
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Updated
Jun 9, 2023 - Python
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
The code and data for the Paper 'Inferring Climate Change Stances from Multimodal Tweets' accepted by the Short Paper track of SIGIR 2024
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