• A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce 

      Anoop, V S; Asharaf, S (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      The task of mining large unstructured text archives, extracting useful patterns and then organizing them into a knowledgebase has attained a great attention due to its vast array of immediate applications in business. ...
    • Aproximación al teatro lorquiano desde la teoría de las redes sociales: La casa de Bernarda Alba 

      Martínez Carro, Elena (Artnodes, 2019)
      La casa de Bernarda Alba de García Lorca ha sido motivo de numerosos estudios filológicos en las últimas décadas. La última obra del poeta es incuestionable como clásico teatral. Por otra parte, las actuales investigaciones ...
    • Grafos de Escenas y Estudios Literarios Digitales: Una Propuesta Computacional Crítica 

      Jiménez Fernández, Concepción María ; Calvo Tello, José (452 F. Revista de Teoría de la Literatura y Literatura Comparada, 2020)
      Desde que en 2005 Moretti los popularizase, los grafos se han utilizado para representar la interacción de los personajes en obras de teatro y novelas. Sin embargo, en los últimos años han aparecido algunos trabajos evaluando ...
    • Graph-based Techniques for Topic Classification of Tweets in Spanish 

      Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ...
    • Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques 

      Caro-Martínez, Marta; Jiménez-Díaz, Guillermo; Recio-García, Juan A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...
    • Use of flip learning to teach graphs theory in higher education 

      Orcos, Lara ; Jordán, Cristina; Magreñán, Á. Alberto (ICERI Proceedings, 2019)
      The objective of this study is to assess the opinions of the fourth year students of the subject of Graphs, Models and Applications of the degree of Computer Engineering, at the Universitat Politecnica de Valencia (UPV), ...