Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech

Saved in:
Bibliographic Details
Published in:Computer and Information Science
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868552906583572482
collection WordPress RSS
FRELIP Feed Integration
container_title Computer and Information Science
description
discipline_display Journal of Information Systems
discipline_facet Journal of Information Systems
format Online Article
RSS Article
genre Journal Article
id rss_article:67122
institution FRELIP
journal_source_facet Computer and Information Science
last_indexed 2026-06-20T21:28:31.257Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
Journal of Information Systems
General
Journal of Information Systems
sub_discipline_display General
sub_discipline_facet General
subject_display Journal of Information Systems
General
Journal of Information Systems
subject_facet Journal of Information Systems
General
Journal of Information Systems
title A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_alt Un nuevo marco para el análisis de sentimientos matizados en la comunicación política: un enfoque de aprendizaje automático para el estudio de caso del discurso de Su Majestad el Rey Abdullah II en la ONU
Un nouveau cadre pour l'analyse nuancée des sentiments dans la communication politique : une approche d'apprentissage automatique pour l'étude de cas du discours de Sa Majesté le Roi Abdallah II aux Nations Unies
Uma Nova Estrutura para Análise de Sentimentos Matizada na Comunicação Política: Uma Abordagem de Aprendizagem de Máquina para o Estudo de Caso do Discurso de Sua Majestade o Rei Abdullah II na ONU
title_auth A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_es_txt Un nuevo marco para el análisis de sentimientos matizados en la comunicación política: un enfoque de aprendizaje automático para el estudio de caso del discurso de Su Majestad el Rey Abdullah II en la ONU
title_fr_txt Un nouveau cadre pour l'analyse nuancée des sentiments dans la communication politique : une approche d'apprentissage automatique pour l'étude de cas du discours de Sa Majesté le Roi Abdallah II aux Nations Unies
title_full A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_fullStr A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_full_unstemmed A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_pt_txt Uma Nova Estrutura para Análise de Sentimentos Matizada na Comunicação Política: Uma Abordagem de Aprendizagem de Máquina para o Estudo de Caso do Discurso de Sua Majestade o Rei Abdullah II na ONU
title_short A New Framework for Nuanced Sentiment Analysis in Political Communication: A Machine Learning Approach to the Case Study of His Majesty King Abdullah II's UN Speech
title_sort a new framework for nuanced sentiment analysis in political communication: a machine learning approach to the case study of his majesty king abdullah ii's un speech
topic Journal of Information Systems
General
Journal of Information Systems
url https://ccsenet.org/journal/index.php/cis/article/view/0/53122