東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Recent advances in NLP = the case of...

Abd Elaziz, Mohamed.

Linked to FindBook

Google Book

Amazon

博客來

Recent advances in NLP = the case of Arabic Language /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in NLP/ edited by Mohamed Abd Elaziz ... [et al.].
Reminder of title:	the case of Arabic Language /
other author:	Abd Elaziz, Mohamed.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiv, 209 p. :ill., digital ;24 cm.
[NT 15003449]:	Text 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.
Contained By:	Springer eBooks
Subject:	Natural language processing (Computer science) -
Online resource:	https://doi.org/10.1007/978-3-030-34614-0
ISBN:	9783030346140

Recent advances in NLP = the case of Arabic Language /
Recent advances in NLPthe case of Arabic Language /[electronic resource] :edited by Mohamed Abd Elaziz ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 209 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8741860-949X ;. - Studies in computational intelligence ;v.874..

Text 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.

In 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.

ISBN: 9783030346140

Standard No.: 10.1007/978-3-030-34614-0doiSubjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / R434 2020

Dewey Class. No.: 006.35

Recent advances in NLP = the case of Arabic Language /
LDR:02899nmm a2200337 a 4500 001 2214725
003 DE-He213
005 20200317140259.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030346140 $q (electronic bk.)
020 $a 9783030346133 $q (paper)
024 7 $a 10.1007/978-3-030-34614-0 $2 doi
035 $a 978-3-030-34614-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N38 $b R434 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b R295 2020
245 0 0 $a Recent advances in NLP $h [electronic resource] : $b the case of Arabic Language / $c edited by Mohamed Abd Elaziz ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 209 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.874
505 0 $a Text 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 $a In 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.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Arabic language $x Data processing. $3 1566560
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Natural Language Processing (NLP) $3 3381674
650 2 4 $a Germanic Languages. $3 897083
650 2 4 $a Arabic. $3 907860
700 1 $a Abd Elaziz, Mohamed. $3 3385570
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.874. $3 3445510
856 4 0 $u https://doi.org/10.1007/978-3-030-34614-0
950 $a Intelligent Technologies and Robotics (Springer-42732)