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6 results on '"J. Angel-Diaz"'

1. NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise

Author

J. Angel Diaz-Garcia, M. Dolores Ruiz, and Maria J. Martin-Bautista

Subjects
Artificial Intelligence, Credibility, General Engineering, Social media mining, Pre-processing, World embeddings, Computer Science Applications
Abstract

Social networks have taken an irreplaceable role in our lives. They are used daily by millions of people to communicate and inform themselves. This success has also led to a lot of irrelevant content and even misinformation on social media. In this paper, we propose a user-centred framework to reduce the amount of irrelevant content in social networks to support further stages of data mining processes. The system also helps in the reduction of misinformation in social networks, since it selects credible and reputable users. The system is based on the belief that if a user is credible then their content will be credible. Our proposal uses word embeddings in a first stage, to create a set of interesting users according to their expertise. After that, in a later stage, it employs social network metrics to further narrow down the relevant users according to their credibility in the network. To validate the framework, it has been tested with two real Big Data problems on Twitter. One related to COVID-19 tweets and the other to last United States elections on 3rd November. Both are problems in which finding relevant content may be difficult due to the large amount of data published during the last years. The proposed framework, called NOFACE, reduces the number of irrelevant users posting about the topic, taking only those that have a higher credibility, and thus giving interesting information about the selected topic. This entails a reduction of irrelevant information, mitigating therefore the presence of misinformation on a posterior data mining method application, improving the obtained results, as it is illustrated in the mentioned two topics using clustering, association rules and LDA techniques., European Commission 786687, Andalusian government FEDER operative program P18-RT-2947 B-TIC-145-UGR18, University of Granada's internal plan PPJIB2021-04, Spanish Government FPU18/00150

Published
2022

4. Generalized Association Rules for Sentiment Analysis in Twitter

Author

J. Angel Diaz-Garcia, M. Dolores Ruiz, and Maria J. Martin-Bautista

Subjects
Association rule learning, Social network, Generalization, business.industry, Computer science, Emotion classification, Sentiment analysis, 02 engineering and technology, computer.software_genre, Social media mining, Categorization, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Set (psychology), computer, Natural language processing
Abstract

Association rules have been widely applied in a variety of fields over the last few years, given their potential for descriptive problems. One of the areas where the association rules have been most prominent in recent years is social media mining. In this paper, we propose the use of association rules and a novel generalization of these based on emotions to analyze data from the social network Twitter. With this, it is possible to summarize a great set of tweets in rules based on 8 basic emotions. These rules can be used to categorize the feelings of the social network according to, for example, a specific character.

Published
2019
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5. Abstracts of presentations on plant protection issues at the xth international congress of virology: August 11-16, 1996 Binyanei haOoma, Jerusalem Iarael part 3(final part)

Author

O. Faktor, G. P. Lomonossoff, S. Souche, B. Levine, C. Ford, D. Schumann, Sh. Abo-El-Saad, Fuh-Jyh Jan, F. Revere, J. Zalewski, M. Ravelonandro, M. Zaitlin, K. Lento, V. Hardi, V. Gaba, A. Romero, M. A. El-Saied, Michael J. Adams, O. N. Denisenko, M. Pilowsky, B. Böddi, W. Zagórski, M. Kikkert, J. Nahring, J. Peterka, U. Oertel, S. Seal, Kristin D. Kasschau, Susan Phillips, David C. Baulcombe, Michael G. K. Jones, S. A. MacFarlane, David M. Tricoli, Phil Larkin, M. A. Mayo, Maja Ravnikar, Patricio Arce-Johnson, H. Uchino, P. Bodegom, T. J. Higgins, Aiming Wang, Roger N. Beachy, T. Lin, M. I. Boulton, T. Natsuaki, S. Astier, A. de Kochko, E. Meiri, Marc G. Fortin, Orit Edelbaum, K. H. Hellwald, B. Falk, M. Ikegami, R. S. Zemetra, D. E. Purcifull, Rafael Rivera-Bustamante, X. W. Xiao, W. K. Kaniewski, M. M. Maugeri, Silvy Zeituny, N. H. Soliman, A. A. Brunt, S. Zimmermann, Hector D. Quemada, J. A. Daròs, I. Sela, I. Oukropec, Ab van Kammen, E. Dagless, R. Carson, P. de Haan, D. D. Shukla, P. J. Shiel, T. Ruiz-Perez, Darja Barlič Maganja, S. C. Taylor, Kristina Gruden, G. Salem, Varsha Wesley, D. L. Gellatly, V. Thole, H. Kawashima, E. Pehu, Erwin Cardol, P. Kominek, L. Mehlo, J. van Lent, K. Graichen, Frank Rabenstein, D. Robinson, J. Walter, M. Kelve, C. Porta, L. Tabe, M. El-Hariry, Johannes Fütterer, Stephen J. Wylie, A. Merits, Roger Hull, R. Goldbach, R. Arroyo, D. K. Becker, A. Ragozzino, H. Chatel, Velitchka Nikolaeva, J. F. Bol, N. Paltridge, G. I. Atiri, K. M. Taylor, A. N. Chiang, Andrew Wieczorek, K. H. Ryu, J. Polák, Y. Chupeau, J. C. Thouvenel, Daniel Plante, Na-Sheng Lin, J. Angel-Diaz, J. Porter, D. Gahakwa, A. Mooney, M. J. Frenkel, S. D. Wyatt, P. Chu, Brandt G. Cassidy, A. Van Schepen, G. R. Smith, A. R. De Rover, L. Sela, Y. Stram, Margarita Yankulova, T. Otsubo, O. Livneh, S. Tsuda, M. R. Hajimorad, J. E. Johnson, G. D. May, L. Levy, T. Candresse, Yan Yitang, Marilyn J. Roossinck, D. J. Hwang, C. M. Fauquet, J. J. L. Gielen, S. Lock, David Charles Baulcombe, B. J. Shi, M. Bitoova, Duk-Ju Hwang, E. Ham, V. M. Ursin, M. Barba, B. L. Barrón, Y. Kageyama, P. Palukaitis, Yau-Heiu Hsu, E. Aliskevicius, O. Le Gall, J. Antoniw, C. J. Arntzen, J. A. Sanchez-Navarro, T. Tamm, W. Chaleeprom, S. Dinant, S. Yu. Morozov, Biing-Yuan Lin, J. L. Badge, S. S. Bishnoi, J. L. Dale, R. Kormelink, N. E. Turner, J. P. T. Valkonen, A. E. Aboul-Ata, S. W. Ding, C. W. A. Pleij, Chu-Hui Chiang, Thomas Hohn, S. Kashiwazaki, F. Ponz, A. M. Chachulska, A. Almási, E. Vardi, J. M. Martínez-Zapater, E. Hiebert, P. Roy, Sheldon Cohen, J. Kunhara, M. Saarma, E. Truve, M. Taliansky, Marcel Prins, Joze Brzin, R. H. Symons, M. Leech, Sheng-Zhi Pang, D. A. Zelenina, M. Storms, M. Saito, M. Kinta, K. Tomaru, Peter de Haan, F. E. Christensen, J. Rathjen, S. J. Yang, E. Fuchs, A. Zelcer, I. B. Kaplan, E. C. Lawson, Hélène Sanfaçon, B. C. Rodoni, G. Mazithulela, Ching-Hsien Wang, M. Ekes, S. Wittmann, S. Schillberg, T. Maki-Valkama, E. Sivamani, M. Shams-Bakhsh, R. Turner, E. Mueller, Borut Štrukelj, M. Karamagioli, V. Somsap, A. Hernádez, A. Golshani, H. P. Loo, E. Ramirez, P. W. G. Chu, Colin W. Ward, T. B. Clifford, N. Collins, K. M. Makkouk, Amis Druka, G. D. Foster, T. Mitsky, M. F. Bateson, Igor Kregar, A. Mathews, Maria-Rosa Marano, L. Rasochova, James C. Carrington, C. A. Powell, K. Makinen, P. H. Berger, Mounir G. AbouHaidar, Nilgun Turner, J. J. English, F. Blaise, M. Q. J. M. Van Grinsven, Helen Rothnie, Frank Ratcliff, Rahat Makhdoom, Kim Carney, Y. M. Hou, R. L. Gilbertson, I. García-Luque, M. T. Serra, G. I. Dwyer, A. Murayama, Rob W. Goldbach, F. DiSerio, C. Jacquet, N. Banerjee, Stanislaw Flasinski, D. Twell, C. Kusiak, M. Chrzanowska, J. Feldman, Lidia Ivanova, Karma Carrier, John F. Bol, W. A. Miller, B. Raccah, J. A. Handley, J. Bachelier, T. Tamada, L. Nigul, R. N. Beachy, T. Kuittinen, R. Floras, A. K. Koenen, S. Guelemerov, Dennis Gonsalves, Joan Wellink, P. Gilardi, Monique M. van Oers, T. Kiguchi, L. Chen, Moshe Lapidot, G. Adam, D. H. L. Bishop, Ivan Ivanov, Shyi-Dong Yeh, G. Rodriguez-Alvarado, A. Callahan, G. Davenport, R. Stratford, B. Passmore, J. E. Faure, R. Gaborianvi, Gang Chen, Richard Kormelink, H. Huet, P. L. McCarthy, J. Drossard, Titia Sijen, R. Fischer, Z. Szigeti, P. Christou, D. Wolf, J. F. Laliberté, J. G. Atabekov, L. López, L. Tomassoli, B. A. L. M. Deiman, L. Kuznetsova, M. A. Wurscher, C. Robaglia, Q. Li, R. B. Sangwan, J. Dunez, R. M. Harding, Amit Gal-On, V. E. Spall, M. J. Soto, J. Hansen, N. Sugimura, C. A. Ong, G. P. Lodhi, Huub J. M. Linthorst, D. Li, R. Scorza, W. X. Li, Narayan Rishi, J. Schubert, M. Aulik, H. Lot, T. Kusume, R. Sanders, J. W. Davies, M. Satour, O. N. Fedorkin, G. A. Prody, M. V. Mikhailov, G. J. Hafner, Sandra Corsten, T. Pehu, Claire Huguenot, F. Garcia-Arenal, Y. P. Duan, D. Marshall, V. Pallas, A. Atanassov, P. Sithisarn-Burns, J. C. Bachelier, and J. Albouy

Subjects
0106 biological sciences, 010602 entomology, Insect Science, Ecology (disciplines), International congress, Physiology, Library science, Plant Science, Biology, 01 natural sciences, 010606 plant biology & botany
Published
2018

6. A descriptive study of patients with adrenocortical carcinoma treated in hospital clinico san carlos (HCSC) over the last 20 years

Author

Elvira Ramos, Patricia Betanzos Espinosa, Antonio Rivera García, Concepción Sanabria, Ángel Molino, Paz de Miguel, J. Angel Diaz, Elvira Barrio, Martin Cuesta, and Inés Jiménez

Subjects
medicine.medical_specialty, business.industry, General surgery, Medicine, Adrenocortical carcinoma, Descriptive research, business, medicine.disease
Published
2018
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