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020 _a9783030346140
024 7 _a10.1007/978-3-030-34614-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.N38
_b2020 EB
245 0 0 _aRecent Advances in NLP: The Case of Arabic Language
_cedited by Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Abdelghani Dahou.
250 _a1st ed. 2020.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XIV, 209 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v874
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aText summarization: A brief review -- Single Arabic Document Summarization Using Natural Language Processing Technique -- Proposed Natural Language Processing Preprocessing Procedures for Enhancing Arabic Text Summarization -- Effects of Stemming on Feature Extraction and Selection for Arabic Documents Classification -- Improving Arabic Lemmatization through a lemmas database and a machine-learning technique -- The role of transliteration in the process of Arabizi translation/sentiment analysis -- Sentiment analysis in healthcare: A brief review -- Aspect-Based Sentiment Analysis for Arabic Government Reviews -- Prediction of the Engagement Rate on Algerian Dialect Facebook Pages -- Predicting Quranic Audio Clips Reciters Using Classical Machine Learning Algorithms: A Comparative Study.
520 3 _aIn light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aProceso en lenguaje natural (Informática)
_9158738
700 1 _aAbd Elaziz, Mohamed.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAl-qaness, Mohammed A. A.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEwees, Ahmed A.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDahou, Abdelghani.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030346133
776 0 8 _iPrinted edition:
_z9783030346157
776 0 8 _iPrinted edition:
_z9783030346164
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34614-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_ek
_zSI