LEADER 04426nam 22006495 450 001 9910483429803321 005 20200702232157.0 010 $a3-030-34614-5 024 7 $a10.1007/978-3-030-34614-0 035 $a(CKB)4100000009940071 035 $a(MiAaPQ)EBC6114087 035 $a(DE-He213)978-3-030-34614-0 035 $a(PPN)243769601 035 $a(EXLCZ)994100000009940071 100 $a20191129d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in NLP: The Case of Arabic Language /$fedited by Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Abdelghani Dahou 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (217 pages) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v874 311 $a3-030-34613-7 327 $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. 330 $aIn light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v874 606 $aComputational intelligence 606 $aNatural language processing (Computer science) 606 $aGermanic languages 606 $aArabic language 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aGermanic Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/N23000 606 $aArabic$3https://scigraph.springernature.com/ontologies/product-market-codes/N14000 615 0$aComputational intelligence. 615 0$aNatural language processing (Computer science). 615 0$aGermanic languages. 615 0$aArabic language. 615 14$aComputational Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aGermanic Languages. 615 24$aArabic. 676 $a006.35 702 $aAbd Elaziz$b Mohamed$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAl-qaness$b Mohammed A. A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEwees$b Ahmed A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDahou$b Abdelghani$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483429803321 996 $aRecent Advances in NLP: The Case of Arabic Language$92854823 997 $aUNINA