International Conference on Computer and Knowledge Engineering

Home / 11th International Conference on Computer and Knowledge Engineering

ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language

Authors :

Mohammad Mehdi Jaziriyan¹ Ahmad Akbari² Hamed Karbasi³

1- EXA company 2- EXA company 3- EXA company

Keywords :

Target-based Stance Detection, Stance Detection, Arabic, Corpus, BERT

Abstract :

Target-based Stance Detection is the task of finding a stance toward a target. Twitter is one of the primary sources of political discussions in social media and one of the best resources to analyze Stance toward entities. This work proposes a new method toward Target-based Stance detection by using the stance of replies toward a most important and arguing target in source tweet. This target is detected with respect to the source tweet itself and not limited to a set of pre-defined targets which is the usual approach of the current state-of-the-art methods. Our proposed new attitude resulted in a new corpus called ExaASC for the Arabic Language, one of the low resource languages in this field. In the end, we used BERT to evaluate our corpus and reached a 70.69 Macro F-score. This shows that our data and model can work in a general Target-base Stance Detection system. The corpus is publicly available.

Papers List

List of archived papers

Improvement of CluStream Algorithm Using Sliding Window for the Clustering of Data Streams

Sahar Ahsani - Morteza Yousef Sanati - Muharram Mansoorizadeh

TriMAE: Fashion visual search with Triplet Masked Auto Encoder Vision Transformer

Lachin Zamani - Reza Azmi

Automatic Generation of XACML Code using Model-Driven Approach

Athareh Fatemian - Bahman Zamani - Marzieh Masoumi - Mehran Kamranpour - Behrouz Tork Ladani - Shekoufeh Kolahdouz Rahimi

Identification of Botnets and Nodes Attacking Smart Cities by Majority Voting Mechanism and Feature Selection

Maliheh Araghchi - Nazbanoo Farzaneh

Virtual machine consolidation using SLA-aware genetic algorithm placement for data centers with non-stationary workloads

Hossein Monshizadeh Naeen

Parallel Local Feature Selection For High-dimensional Data

Zhaleh Manbari - Chiman Salavati - Fardin AkhlaghianTab - Barzan Saeedpoor - Himan Delbina - Mahmud Abdulla Mohammad

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

An Analysis of Botnet Detection Using Graph Neural Network

Faezeh Alizadeh - Mohammad Khansari

Enhanced Principal-curve based Classifiers for Time-series Label Prediction

Seyed Aref Hakimzadeh - Koorush Ziarati

AvashoG2P: A multi-module G2P Converter for Persian

Ali Moghadaszadeh - Fatemeh Pasban - Mohsen Mahmoudzadeh - Maryam Vatanparast - Amirmohammad Salehoof