Results 11 to 20 of about 2,940,165 (241)
Enhancing Stance Detection with Target-Stance Graph and Logical Reasoning
Applied SciencesStance detection identifies the attitude or stance toward specific targets and has a wide range of applications across various domains. Implicit mention of the target makes it difficult to establish connections between the target and the text.
Yiqing Cai +4 more
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Social Media Text Stance Detection Based on Large Language Models [PDF]
Jisuanji kexue yu tansuoStance detection aims to analyze the attitude expressed in a text towards a given target. Social media texts are often short and evolve rapidly, which poses challenges for traditional stance detection methods due to sparse semantic information and ...
LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long
doaj +3 more sources
Explainable Stance Detection for Search Results
, 2023 This repository contains supplementary material related to the paper "Explainable Cross-Topic Stance Detection for Search Results." -- NOTE: we noticed a minor error in our code that slightly changes the stance detection results.
Tim Draws
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Stance-taking and public discussion in blogs. [PDF]
, 2010 Blogs, which can be written and read by anyone with a computer and an internet connection, would seem to expand the possibilities for engagement in public sphere debates.
Myers, Greg
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Implicit Stance Detection with Hashtag Semantic Enrichment
MathematicsStance detection is a crucial task in natural language processing and social computing, focusing on classifying expressed attitudes towards specific targets based on the input text.
Li Dong +4 more
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Stance characterization and detection on social media [PDF]
, 2021 Stance detection refers to the task of identifying a viewpoint as either supporting or opposing a given topic. The current research on socio-political opinion mining on social media is still in its infancy.
AlDayel, Abeer
core +1 more source
Stance Detection on Social Media [PDF]
, 2022 Nowadays, people often express their stances toward various targets (e.g., marijuana legalization, wearing face masks during the COVID-19 pandemic or political figures) in social media. These stances in an aggregate can facilitate important tasks ranging
Yingjie Li (2106778)
core +1 more source
X-stance: A Multilingual Multi-Target Dataset for Stance Detection [PDF]
, 2020 We extract a large-scale stance detection dataset from comments written by candidates of elections in Switzerland. The dataset consists of German, French and Italian text, allowing for a cross-lingual evaluation of stance detection.
Sennrich, Rico +2 more
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General Framework for Domain-Specialization of Stance Detection
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 We present a generalized framework for domain-specialized stance detection, focusing on Covid-19 as a use case. We define a stance as a predicate-argument structure (combination of an action and its participants) in a simplified one-argument format, e.g.,
Brodie Mather +3 more
doaj +1 more source
Sensors, 2022 The coronavirus has caused significant disruption to people’s everyday lives, altering how people live, work, and study. The Kingdom of Saudi Arabia (KSA) reacted very quickly to suppress the spread of the virus even before the first case of COVID-19 was
Tahani Alqurashi
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