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What is Natural Language Processing

Handbook of Research on Learning in the Age of Transhumanism
A subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) language.
Published in Chapter:
Artificial Intelligence in Education: Current Insights and Future Perspectives
Nil Goksel (Anadolu University, Turkey) and Aras Bozkurt (Anadolu University, Turkey)
Copyright: © 2019 |Pages: 13
DOI: 10.4018/978-1-5225-8431-5.ch014
Abstract
Though only a dream a while ago, artificial intelligence (AI) has become a reality, being now part of our routines and penetrating every aspect of our lives, including education. It is still a field in its infancy, but as time progresses, we will witness how AI evolves and explore its untapped potential. Against this background, this chapter examines current insights and future perspectives of AI in various contexts, such as natural language processing (NLP), machine learning, and deep learning. For this purpose, social network analysis (SNA) is used as a guide for the interpretation of the key concepts in AI research from an educational perspective. The research identified three broad themes: (1) adaptive learning, personalization and learning styles, (2) expert systems and intelligent tutoring systems, and (3) AI as a future component of educational processes.
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A Comprehensive Review on AI Techniques for Healthcare
Branch of artificial intelligence that enables machines to understand human language, understand written text and also spell check them and translate one language to other language.
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Combining Machine Learning and Natural Language Processing for Language-Specific, Multi-Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview
Subfield of computer science that concerns the processing of large amounts of natural language data by means of automated systems.
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Standing on the Shoulders of Generative AI
It represents the intersection of artificial intelligence and linguistics, involving computational techniques called machine learning, which are used to train machines the ability to interpret, analyze, and synthesize human language.
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How Artificial Intelligence (AI) is Transforming the User Experience in Digital Marketing
This means the application of computational techniques to the analysis and synthesis of natural language and speech.
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Artificial Intelligence and Machine Learning in Higher Education
This is a part of artificial intelligence and machine learning concerned with analyzing human language and making it usable by computers.
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Data Text Mining Based on Swarm Intelligence Techniques: Review of Text Summarization Systems
The process concerned with the interactions between computers and different natural languages of human, in particular how to machines to process and analyze big-data of natural language.
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The Potential of Text-to-Speech Synthesis in Computer-Assisted Language Learning: A Minority Language Perspective
A field of study, which brings together different disciplines such as linguistics, computer science and artificial intelligence in order to computationally process human language for specific purposes, e.g. generating ‘intelligent’ feedback in language learning activities based on unpredictable learner input.
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The Integrated Tourism Analysis Platform (ITAP) for Tourism Destination Management
Sub-field of Artificial Intelligence that is focused on enabling computers to understand and process human languages, to get computers closer to a human-level understanding of language.
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Computer-Assisted Language Learning in East Asia
Using various computing technologies to process natural languages used by human beings (as opposed to machine or artificial languages) in order to understand or produce the languages. For instance, parsing as a typical type of processing is to analyze an English sentence in order to group words into a subject (doer of an action) and verb phrase (the action).
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Artificial Intelligence-Driven Instruction and Its Impact on Heutagogy and Student Engagement
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Artificial Intelligence in Teleradiology: A Rapid Review of Educational and Professional Contributions
It refers to the application of computational techniques to the analysis and synthesis of natural language and speech.
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Machine Learning Approach for Kashmiri Word Sense Disambiguation
Natural Language Processing is a derivative of Artificial Intelligence that unfolds the rules to facilitate the interaction between humans and machines. Understanding, generating and interpreting the natural languages by machines just like humans do is the aim objective that NLP fulfills.
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Natural Language Processing Applications in Language Assessment: The Use of Automated Speech Scoring
NLP can be defined as a multidisciplinary field of research and application that uses computational techniques for the analysis and synthesis of human language.
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The Future of ChatGPT: Exploring Features, Capabilities, and Challenges as a Leading Support Tool
A field of artificial intelligence that focuses on the interaction between computers and human language. It involves developing algorithms and models to enable machines to understand, interpret, and respond to human language, facilitating applications like chatbots, language translation, sentiment analysis, and text summarization.
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The Stakes of Social Media: Analyzing User Sentiments
Opinion mining technique with extracting information about people’s thoughts and feelings from a corpus of text data (Albahli et al., 2020 AU97: The in-text citation "Albahli et al., 2020" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ).
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Using Machine Learning to Extract Insights From Consumer Data
A field of study to derive computational approaches to process and analyze large amounts of textual data on human (natural) language.
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Artificial Intelligence in the Consumer Behavior Process in Business
A branch of artificial intelligence that enables computers to comprehend, generate, and manipulate human language.
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Building a Conversational Chatbot Using Machine Learning: Towards a More Intelligent Healthcare Application
A field of Artificial Intelligence (AI) that deals with the interaction between computers and human languages, specifically in the areas of understanding and generating natural language.
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A Bibliometrics and Text Analytics Review of Games and Gamification in Education
Branch of computer science which aims to understand and produce language the same way as human beings can.
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Non-Technological and Technological (SupTech) Innovations in Strengthening the Financial Supervision
An area covering artificial intelligence and linguistics which involves processing the information saved in a computer’s database so as to make it comprehensible for human beings.
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Visualizing Neuroscience Through AI: A Systematic Review
It is a subfield of computer science (in particular, artificial intelligence) that enables computers to interpret verbal and written information much like humans.
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Improving Customer Experience Using Sentiment Analysis in E-Commerce
Uses methods of computer science, artificial intelligence, and computational linguistics to understand interactions between computers and human languages.
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AI-Powered Recommendation Systems and Resource Discovery for Library Management
It is an AI programed to understand, interpret, and generate human language in an efficient way.
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Big Data and Public Health: Avenue for Multidisciplinary Collaborative Research
Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a perspicacious and utilizable way.
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Web-Based English Writing Courses for Graduate Students
To use various computing technologies to process natural languages used by human beings (as opposed to machine or artificial languages) in order to understand or produce the languages. For instance, parsing as a typical type of processing is to analyze an English sentence in order to group words into subject (the doer of an action) and verb phrase (the action).
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Is AI in Your Future?: AI Considerations for Scholarly Publishers
Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
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Belmont 2.0: Ethical Research Expectations for PII in AI, ML, and Data Mining/Scraping
Natural language processing (NLP) refers to “a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) language” ( Goksel & Bozkurt, 2019 , p. 236).
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Methods and Techniques of Data Mining
The software is to be able to communicate successfully in a Natural Language (e.g., English).
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Information Retrieval Systems in Healthcare: Understanding Medical Data Through Text Analysis
A field of artificial intelligence focused on the interaction between computers and human language. It involves computational techniques for analyzing, interpreting, and synthesizing human language, enabling machines to understand and respond to text and spoken words.
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NLP Techniques and Challenges to Process Social Media Data
Natural Language Processing is a discipline of Artificial Intelligence that deals with how computers can be made capable of automatically manipulating, understanding, and generating natural languages like text, and speech.
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Error Types in Natural Language Processing in Inflectional Languages
A modern research area, dealing with the interaction between humans and computers with language.
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AI in Bioinformatics and Computational Biology
A field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language.
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Management and Use of Metadata as a Legal Information Retrieval Tool: Nigerian Legal Practices
Natural language processing (NLP) can simply be defined as the programmed running of natural language (e.g., text and speech) with the use of application software ( Brownlee, 2019 ).
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Gamification as an Assistive Tool for Children With Autism Spectrum Disorder
It is an interdisciplinary subfield of computer science, artificial intelligence, and linguistics focused on the interactions between computers and human language.
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Unleashing AI's Potential for Optimal Student Learning in Education: Ethical Implications
The ability of a computer programme to comprehend spoken and written natural language is known as natural language processing (NLP).
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Named Entity Recognition in Document Summarization
Natural language processing is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, how to program computers to process and analyze large amounts of natural language data.
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Unleashing the Potential of Every Child: The Transformative Role of Artificial Intelligence in Personalized Learning
An AI technique enabling comprehension and generation of human language through text and speech analysis.
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Intelligence in Web Technology
This is one application area which can be benefited a lot and has been termed as Multi lingual web. This will process natural languages. Some research articles has been discussed in the main text.
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Digital Strategy for a Sustainable Civilization
The use of computers to process and analyze natural language data.
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Digital Humanities Strategy
An area of study that aims at discovering methods for analyzing natural language via computer programs.
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Artificial Intelligence (AI) in Academic Libraries: A Theoretical Study
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
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Chatbot in Ecommerce
It is a computer program to understand the human language both in the form of written and spoken.
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Natural Language Understanding and Assessment
The science of capturing the meaning of human language in computational representations and algorithms.
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Analyzing the Evolution of Digital Assessment in Education Literature Using Bibliometrics and Natural Language Processing
Branch of computer science which aims to understand and produce language the same way as human beings can.
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Machine Learning Applications in Mega-Text Processing
theory, design and implementation of systems for the analysis, understanding and generation of written or spoken language.
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Evolving Cyber Threats, Combating Techniques, and Open Issues in Online Social Networks
It is a sub-discipline of linguistics, computer science, information engineering and artificial intelligence involved with computer and human language interactions, in specific to how computers can be programmed to process and examine huge volumes of natural language data.
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Sentiment Analysis as a Restricted NLP Problem
Natural language processing is a process that deals with the manipulation of natural language (i.e., language used by humans) by utilizing computers and artificial intelligence to process and analyze huge amounts of natural language data for various applications ranging from automatic summarization to disease prediction.
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Considerations When Choosing Artificial Intelligence to Meet Business Needs in Higher Education Institutions
Technology that understands the spoken and written human language and uses it to train artificial intelligence solutions.
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An Effective Pedagogy Toolkit for Learning in an Intelligent Virtual Environment
An application of Artificial Intelligence concerned with interactions between computers and natural (human) languages.
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The Perspectives of Improving Web Search Engine Quality
A field of studying the problems of automated generation and understanding of natural human languages.
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AI, the New-Age Lawyer: Industry 5.0 and Sustainable Development in Legal Practice
It is a technique that combines rule-based modeling of human language with statistics and machine learning to enable digital devices to recognize, understand, and generate speech and text.
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Examining the Use of ChatGPT in Language Teaching: Teachers' Experiences and Perceptions
Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend written and spoken words as in the same way that people do.
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Towards E-Government Information Platforms for Enterprise 2.0
Research area that studies how to analyze and produce human languages, such as English.
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A Survey on Intelligence Tools for Data Analytics
Sub-domain of artificial intelligence that deals with programming of computers to process large amount of natural language data.
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The Interaction Between Offensive and Hate Speech on Twitter and Relevant Social Events in Spain
They are algorithms based on different technologies, such as neural networks, which allow the analytical processing of texts.
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Enhancing Automatic Speech Recognition and Speech Translation Using Google Translate
Natural language processing NLP's major purpose is to allow computer systems to interpret natural human language.
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Artificial Intelligence and Marketing: Progressive or Disruptive Transformation? Review of the Literature
Is a subfield of artificial intelligence and computer science that focuses on the interaction between computers and humans using natural language. The goal of NLP is to develop algorithms and models that enable computers to understand, interpret, and generate human language. NLP has a wide range of applications, including text classification, sentiment analysis, machine translation, and question-answering.
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Machine Learning in Natural Language Processing
theory, design and implementation of systems for the analysis, understanding and generation of written or spoken language
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A Rural Healthcare Mobile App: Urdu Voice-Enabled Mobile App for Disease Diagnosis
A field of computer science related to automatic processing of human generated language data. It can be used for information retrieval as well as command and control.
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Optimizing Library Services Through the Integration of Artificial Intelligence Tools and Techniques
The goal of natural language processing (NLP), a subfield of computer science, linguistics, and artificial intelligence, is to enable computers to understand human language—including speech and text. Numerous commonplace goods and services employ natural language processing. Voice-activated digital assistants on smart phones, email scanning apps that detect spam, and translation apps that interpret foreign languages are a few of the most popular applications of natural language processing (NLP).
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The Development of Single-Document Abstractive Text Summarizer During the Last Decade
A discipline that is concerned with the interaction between the human natural language and computers.
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Unraveling E-WOM Patterns Using Text Mining and Sentiment Analysis
A set of techniques based on many different disciplines such as computer science, artificial intelligence and linguistics, that allows computers to understand the human language.
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Applying Learning Object Libraries in K-12 Settings
Natural language processing refers to the ability of computers to translate computer database information to natural sounding language or vice-versa (as is described in this discussion).
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Semantic Measures
Field of information technology to provide methods and algorithms for processing human language. Automatic translation tools, spelling checkers, or even speech recognition software are among the most popular applications.
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Application of AI in Academic Library Services: Prospects and Implications for Quality Service Delivery
A subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It involves a range of techniques and tools used to process and analyse human language data, including text, speech, and even images or videos with textual content.
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Automated Essay Scoring Systems
Use of computers to interpret and manipulate words as part of a language.
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Research Journey of Hate Content Detection From Cyberspace
NLP is a Linguistic approach to interact with human language and computer. This field comes under Artificial Intelligence and Computer Science.
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Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model
A subfield of Artificial Intelligence and Computer Science that deals with how computers perceive natural languages. It involves giving computers the capability to process large amounts of natural language data.
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Revolutionizing Healthcare: Unveiling the Transformative Power of Chatbots Through a Systematic Literature Review
Text structure and meaning may be revealed by machine learning in natural language processing, or NLP. Organizations may leverage natural language processing systems to analyze text and derive information about individuals, locations, and events to get a deeper understanding of consumer interactions and social media sentiment.
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Generative AI and Generative Pre-Trained Transformer Applications: Challenges and Opportunities
A branch of artificial intelligence that enables computers to comprehend, generate, and manipulate human language.
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Artificial Intelligence in Computer Science
It combines computational linguistics, machine learning, and deep learning models to process human language.
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A Critical Review of the Current State of Natural Language Processing in Mexico and Chile
is an interdisciplinary research area that integrates theories and methods from linguistics and computer science, particularly artificial intelligence, in order to create models and tools for understanding and generate human language. Natural language processing can be divided into two major sub-domains: (i) computational linguistics, focused on solving theoretical questions involved in designing computational models of human language; and (ii) linguistic engineering, geared more towards the development of computational tools and resources capable of processing oral data (e.g.: sequences of dialogues) or written (e.g.: text corpora).
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