Sinopsis
Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.
Acerca de los autores
Rogelio Florencia-Juárez received the PhD degree in Computer Science from Tijuana Institute of Technology, Mexico, in 2016. He received the M.Sc. degree in Computer Science from Madero Institute of Technology, Mexico, in 2010. He is currently full-time Professor of the Software and Computer Systems Engineering at Universidad Autónoma de Ciudad Juárez, México and he is a member of the Mexican National System of Researchers (SNI) since 2019. His research interests are in the areas of natural language processing, knowledge representation machine learning and data analysis.
Mario Andrés Paredes Valverde received a Ph.D. degree in Computer Science from the University of Murcia with cum laude distinction and International mention in 2017. He holds a B.E. and MSc degrees in Computer Systems Engineering from the Instituto Tecnológico de Orizaba, Orizaba, México. His main research interests include the Semantic Web, Big Data, Internet of Things (IoT), and Human Language technologies such as Natural Language Processing (NLP), Information Retrieval, Information Extraction, opinion mining, and computational linguistics. He has extensive experience in the use and development of ontologies for domain conceptualization, NLP techniques to retrieve information from relational databases and distributed semantic knowledge bases, machine learning, and the development of Intelligent Systems based on the IoT. Mario Andrés has published over 20 articles in journals indexed in JCR, conferences, and book chapters. He is a member of the scientific committee of national and international conferences (CITI, INBAST, ISC, CIMPS, and CITAMA). Also, he has held stays in research centers in Spain and Norway, and he has collaborated with researchers’ groups from Mexico, Spain, Ecuador, and Norway. Additionally, he has collaborated in the development of national and international research proposals financed by public and private entities such as the National Council of Science and Technology (CONACYT), Ministry of Economy and Competitiveness, Centre for Industrial Technological Development (CDTI) Government of Spain, Institute of Promotion of the Region of Murcia (INFO) and European Regional Development Fund (FEDER) .
Gilberto Rivera received his Ph.D. in Computer Science (in 2015) from the Tecnológico Nacional de México (National Institute of Technology of Mexico). The Mexican Society for Artificial Intelligence (SMIA) recognized his doctoral research as the best one of the Ph.D. dissertations on Artificial Intelligence in 2015. He is currently a full-time professor of Computer Engineering at the Universidad Autónoma of Ciudad Juárez. Besides, he is a member of the Mexican National System of Researchers (SNI) since 2016. His primary interests are in the areas of multi-criteria optimization, applied soft computing, logistics, and swarm intelligence.
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