A network-based positive and unlabeled learning approach for fake news detection

DOI10.1007/S10994-021-06111-6OpenAlexW3213264697MaRDI QIDQ2102409

Brucce Neves dos Santos, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini, Solange Oliveira Rezende, Bruno Nogueira, Mariana Caravanti de Souza

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-06111-6

zbMATH Keywords

text processinggraph-based learningdocument managementfake newsone-class learningpositive and unlabeled learningtransductive semi-supervised learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Scikit
• Adam
• t-SNE

Cites Work

• Unnamed Item
• Unnamed Item
• Learning from positive and unlabeled data: a survey
• A survey on semi-supervised learning
• A new status index derived from sociometric analysis
• 10.1162/15324430260185574
• Introduction to Information Retrieval
• Introduction to Semi-Supervised Learning
• Neural Networks and Deep Learning
• Positive Unlabeled Learning

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