Twitter Sentiment Analysis with Machine Learning for Political Approval Rating

This study provides an insightful analysis of Peruvian political approval rating sentiment, using Twitter data and applying various ranking algorithms. Despite the challenging context of political instability, the research achieved a high degree of accuracy, with...

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Autores principales: Rodrigo Loayza Abal, Juan J. Soria, Lidia Segura Peña
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Lenguaje:inglés
Publicado: 2024
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author Rodrigo Loayza Abal
Juan J. Soria
Lidia Segura Peña
author_browse Juan J. Soria
Lidia Segura Peña
Rodrigo Loayza Abal
author_facet Rodrigo Loayza Abal
Juan J. Soria
Lidia Segura Peña
author_sort Rodrigo Loayza Abal
collection Producción científica
description This study provides an insightful analysis of Peruvian political approval rating sentiment, using Twitter data and applying various ranking algorithms. Despite the challenging context of political instability, the research achieved a high degree of accuracy, with...
format Book chapter
id oai:cris.upeu.edu.pe:20.500.15037/984
institution UPeU
language English
publishDate 2024
publishDateRange 2024
publishDateSort 2024
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spelling oai:cris.upeu.edu.pe:20.500.15037/9842026-11-02T22:34:06ZTwitter Sentiment Analysis with Machine Learning for Political Approval RatingRodrigo Loayza AbalJuan J. SoriaLidia Segura PeñaSentiment analysisPoliticsArtificial intelligencePsychologyComputer scienceAdvertisingPolitical scienceNatural language processingData scienceInternet privacyBusinessLawSentiment analysisPoliticsArtificial intelligencePsychologyComputer scienceAdvertisingPolitical scienceNatural language processingData scienceInternet privacyBusinessLawPhysical Sciences Computer Science Artificial Intelligence Sentiment Analysis and Opinion MiningPhysical Sciences Computer Science Artificial Intelligence Hate Speech and Cyberbullying DetectionSocial Sciences Social Sciences General Social Sciences Computational and Text Analysis MethodsThis study provides an insightful analysis of Peruvian political approval rating sentiment, using Twitter data and applying various ranking algorithms. Despite the challenging context of political instability, the research achieved a high degree of accuracy, with...Book chapter10.1007/978-3-031-53549-9_37https://hdl.handle.net/20.500.15037/984W4391900668enLecture notes in networks and systems2367-33702367-33892024-01-012026-06-13T09:42:19Z2026-06-13T09:42:19Z
spellingShingle Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Physical Sciences Computer Science Artificial Intelligence Sentiment Analysis and Opinion Mining
Physical Sciences Computer Science Artificial Intelligence Hate Speech and Cyberbullying Detection
Social Sciences Social Sciences General Social Sciences Computational and Text Analysis Methods
Rodrigo Loayza Abal
Juan J. Soria
Lidia Segura Peña
Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title_full Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title_fullStr Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title_full_unstemmed Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title_short Twitter Sentiment Analysis with Machine Learning for Political Approval Rating
title_sort twitter sentiment analysis with machine learning for political approval rating
topic Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Physical Sciences Computer Science Artificial Intelligence Sentiment Analysis and Opinion Mining
Physical Sciences Computer Science Artificial Intelligence Hate Speech and Cyberbullying Detection
Social Sciences Social Sciences General Social Sciences Computational and Text Analysis Methods
topic_facet Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Sentiment analysis
Politics
Artificial intelligence
Psychology
Computer science
Advertising
Political science
Natural language processing
Data science
Internet privacy
Business
Law
Physical Sciences Computer Science Artificial Intelligence Sentiment Analysis and Opinion Mining
Physical Sciences Computer Science Artificial Intelligence Hate Speech and Cyberbullying Detection
Social Sciences Social Sciences General Social Sciences Computational and Text Analysis Methods
url https://hdl.handle.net/20.500.15037/984
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AT juanjsoria twittersentimentanalysiswithmachinelearningforpoliticalapprovalrating
AT lidiasegurapena twittersentimentanalysiswithmachinelearningforpoliticalapprovalrating