Natural Language Processing
Overview
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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Details
- ISBN-13: 9781774077764
- ISBN-10: 1774077760
- Publisher: Arcler Press
- Publish Date: November 2020
- Dimensions: 9.11 x 6.21 x 1.21 inches
- Shipping Weight: 1.71 pounds
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