Results 31 to 40 of about 4,967,798 (324)
Big Data and Cognitive Computing, 2022 In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May 2021, using the Twitter API. The
Omama Hamad +3 more
doaj +1 more source
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 +1 more source
Stance Prediction for Russian: Data and Analysis [PDF]
, 2018 Stance detection is a critical component of rumour and fake news identification. It involves the extraction of the stance a particular author takes related to a given claim, both expressed in text.
Derczynski, Leon +2 more
core +2 more sources
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
Simple open stance classification for rumour analysis [PDF]
, 2017 Stance classification determines the attitude, or stance, in a (typically short) text. The task has powerful applications, such as the detection of fake news or the automatic extraction of attitudes toward entities or events in the media.
Aker, A., Bontcheva, K., Derczynski, L.
core +2 more sources
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
doaj +1 more source
Estimation of temporal parameters during sprint running using a trunk-mounted inertial measurement unit [PDF]
, 2012 This research was supported by a grant of the Universit a Italo-Francese (Call Vinci) awarded to E. Bergamini.The purpose of this study was to identify consistent features in the signals supplied by a single inertial measurement unit (IMU), or thereof ...
BERGAMINI, Elena +5 more
core +5 more sources
Effects of hemodialysis therapy on sit-to-walk characteristics in end stage renal disease patients [PDF]
, 2012 Patients with end stage renal diseases (ESRD) undergoing hemodialysis (HD) have high morbidity and mortality due to multiple causes; one of which is dramatically higher fall rates than the general population.
Abdel-Rahman, Emaad +3 more
core +2 more sources
Stance detection in online discussions
CoRR, 2017 This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment is in favor of the given target or against. Our approach is based on a maximum entropy classifier, which uses surface-level, sentiment and domain-specific features.
Peter Krejzl +2 more
openaire +2 more sources
Stance Detection in Chinese Microblogs
Zhishi guanli luntan, 2017 [Purpose/significance] The paper introduces a new approach to automatically detect stance in Chinese microblogs by building a serial combination model based on Sentiment Weighted Algorithm and Naive Bayes (SWNB model).
Liu Kan +5 more
doaj +1 more source