Generalized Association Rules for Sentiment Analysis in Twitter. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2019)

Mining Text Patterns over Fake and Real Tweets. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2020)

Non-Query-Based Pattern Mining and Sentiment Analysis for Massive Microblogging Online Texts. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Access, 2020)

A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2021)

A Fuzzy-Based Approach for Cyberbullying Analysis. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Jesica Gómez-Sánchez; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Expert Syst. Appl., 2022)

All Trolls Have One Mission: An Entropy Analysis of Political Misinformation Spreaders. - Jose Angel Diaz-Garcia; Julio Amador Díaz López (FQAS, 2023)

Bot Detection in Twitter: An Overview. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2023)

A survey on the use of association rules mining techniques in textual social media. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Artif. Intell. Rev., 2023)

Liars Know How to Argue: An Approach to Disinformation Analysis Based on Argument Mining. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

Why a Bot is Undetectable? An Explainability-Based Study of Misclassified Automated Accounts in Social Networks. - Salvador Lopez-Joya; José Ángel Díaz-García; María Dolores Ruiz Jiménez; María José Martín Bautista (IPMU (3), 2024)

Exploring social bots: A feature-based approach to improve bot detection in social networks. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (CoRR, 2024)

A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise. - Jose Angel Diaz-Garcia; Karel Gutiérrez-Batista; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (Int. J. Comput. Intell. Syst., 2024)

A Literature Review of Textual Cyber Abuse Detection Using Cutting-Edge Natural Language Processing Techniques: Language Models and Large Language Models. - José Ángel Díaz-García; João Paulo Carvalho 001 (WIREs Data. Mining. Knowl. Discov., 2025)

A survey on cutting-edge relation extraction techniques based on language models. - Jose Angel Diaz-Garcia; Julio Amador Díaz López (Artif. Intell. Rev., 2025)

Dissecting a social bot powered by generative AI: anatomy, new trends and challenges. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Soc. Netw. Anal. Min., 2025)