Gacovski | Natural Language Processing | E-Book | sack.de
E-Book

E-Book, Englisch, 462 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

Gacovski Natural Language Processing


Erscheinungsjahr 2020
ISBN: 978-1-77407-979-9
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 462 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

ISBN: 978-1-77407-979-9
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



This edition covers different topics from natural language processing, including natural language processing in IT / web systems, semantics in natural language processing, mathematical algorithms in natural language processing, and natural language in mobile systems. Section 1 focuses on natural language processing in IT and web systems, describing semantic analysis of natural language queries for an object oriented database; communication mediated through natural language generation in big data environments; web semantic and ontology; and understanding creative language in tweets. Section 2 focuses on semantics in natural language processing, describing resolving topic-focus ambiguities in natural language; semantic interoperability in e-health for improved healthcare; computational context modeling framework - an ontological approach to develop context-aware web applications; and three types of episodic associations for the semantic/syntactic/episodic model of language prospective in applications to the statistical translation. Section 3 focuses on mathematical algorithms in natural language processing, describing bridging between natural language and mathematical language in solving problems in mathematics; Spanish language grammatical context—acknowledging specific language characteristics; shallow parsing approach to natural language queries of a database; comparative study to understanding about poetics based on natural language processing; computers and language learning. Section 4 focuses on natural language in mobile systems, describing automatic approach of sentiment lexicon generation for mobile shopping reviews; sentence-level neural network models for multiple-choice reading comprehension tasks; bibliometric review of natural language processing empowered mobile computing; mobile-based question-answering and early warning system for assisting diabetes management; research on new English mobile teaching mode under the impact of mobile internet age.

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Autoren/Hrsg.


Weitere Infos & Material


- SECTION 1 NATURAL LANGUAGE PROCESSING IN IT AND WEB SYSTEMS
- Chapter 1: Semantic Analysis of Natural Language Queries for an Object Oriented Database
- Chapter 2: Communication Mediated through Natural Language Generation in Big Data Environments: The Case of Nomao
- Chapter 3: Web Semantic and Ontology
- Chapter 4: Towards Understanding Creative Language in TweetsSECTION 2 NATURAL LANGUAGE PROCESSING IN IT AND WEB SYSTEMS
- Chapter 5: Resolving Topic-Focus Ambiguities in Natural Language
- Chapter 6: Semantic Interoperability in E-Health for Improved Healthcare
- Chapter 7: CCMF, Computational Context Modeling Framework – An Ontological Approach to Develop Context-Aware Web Applications
- Chapter 8: Three Types of Episodic Associations for the Semantic/ Syntactic/Episodic Model of Language Prospective in Applications to the Statistical TranslationSECTION 3 MATHEMATICAL ALGORITHMS AND NATURAL LANGUAGE
- Chapter 9: Language and Mathematics: Bridging between Natural Language and Mathematical Language in Solving Problems in Mathematics
- Chapter 10: Spanish Language Grammatical Context— Acknowledging Specific Language Characteristics
- Chapter 11: A Shallow Parsing Approach to Natural Language Queries of a Database
- Chapter 12: A Comparative Study to Understanding about Poetics Based on Natural Language Processing
- Chapter 13: Computers and Language LearningSECTION 4 NATURAL LANGUAGE PROCESSING IN MOBILE COMPUTING
- Chapter 14: Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews
- Chapter 15: Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks
- Chapter 16: A Bibliometric Review of Natural Language Processing Empowered Mobile Computing
- Chapter 17: A Mobile-Based QuestionAnswering and Early Warning System for Assisting Diabetes Management
- Chapter 18: Research on New English Mobile Teaching Mode under the Impact of Mobile Internet Age


Dr. Zoran Gacovski has earned his PhD degree at Faculty of Electrical engineering, Skopje. His research interests include Intelligent systems and Software engineering, fuzzy systems, graphical models (Petri, Neural and Bayesian networks), and IT security. He has published over 50 journal and conference papers, and he has been reviewer of renowned Journals. Currently, he is a professor in Computer Engineering at European University, Skopje, Macedonia.



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