Computational Intelligence Methods For Sentiment Analysis In Natural Language Processing Applications

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Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

Author : D. Jude Hemanth
Publisher : Elsevier
ISBN 13 : 0443220107
Total Pages : 296 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications by : D. Jude Hemanth

Download or read book Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications written by D. Jude Hemanth and published by Elsevier. This book was released on 2024-01-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology. Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm

Computational Intelligence Applications for Text and Sentiment Data Analysis

Author : Dipankar Das
Publisher : Academic Press
ISBN 13 : 0323906370
Total Pages : 272 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Computational Intelligence Applications for Text and Sentiment Data Analysis by : Dipankar Das

Download or read book Computational Intelligence Applications for Text and Sentiment Data Analysis written by Dipankar Das and published by Academic Press. This book was released on 2023-07-14 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approx.330 pages Approx.330 pages

A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing

Author : Youddha Beer Singh
Publisher : Bentham Science Publishers
ISBN 13 : 9815238493
Total Pages : 394 pages
Book Rating : 4.8/5 (152 download)

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Book Synopsis A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing by : Youddha Beer Singh

Download or read book A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing written by Youddha Beer Singh and published by Bentham Science Publishers. This book was released on 2024-08-12 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications. Highlights: - Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications. - Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP. - Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning. - Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges. Key Features: - Comprehensive coverage of NLP and deep learning integration. - Practical insights into real-world applications - Detailed exploration of recent research and advancements through 16 easy to read chapters - References and notes on experimental methods used for advanced readers Ideal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.

Sentiment Analysis and its Application in Educational Data Mining

Author : Soni Sweta
Publisher : Springer Nature
ISBN 13 : 9819724740
Total Pages : 116 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Sentiment Analysis and its Application in Educational Data Mining by : Soni Sweta

Download or read book Sentiment Analysis and its Application in Educational Data Mining written by Soni Sweta and published by Springer Nature. This book was released on with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Sentiment Analysis

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 0850140609
Total Pages : 136 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Advances in Sentiment Analysis by :

Download or read book Advances in Sentiment Analysis written by and published by BoD – Books on Demand. This book was released on 2024-01-10 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning techniques that power sentiment analysis, enabling the extraction of nuanced emotions from text. Key Features: •State-of-the-Art Techniques: Explore the most recent advancements in sentiment analysis, from deep learning approaches to sentiment lexicons and beyond. •Real-World Applications: Dive into a wide range of applications, including social media monitoring, customer feedback analysis, and sentiment-driven decision-making. •Cross-Disciplinary Insights: Understand how sentiment analysis influences and is influenced by fields such as marketing, psychology, and finance. •Ethical and Privacy Considerations: Delve into the ethical challenges and privacy concerns inherent to sentiment analysis, with discussions on responsible AI usage. •Future Directions: Get a glimpse into the future of sentiment analysis, with discussions on emerging trends and unresolved challenges. This book is an essential resource for researchers, practitioners, and students in fields like natural language processing, machine learning, and data science. Whether you’re interested in understanding customer sentiment, monitoring social media trends, or advancing the state of the art, this book will equip you with the knowledge and tools you need to navigate the complex landscape of sentiment analysis.

Sentiment Analysis and Ontology Engineering

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319303198
Total Pages : 457 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Sentiment Analysis and Ontology Engineering by : Witold Pedrycz

Download or read book Sentiment Analysis and Ontology Engineering written by Witold Pedrycz and published by Springer. This book was released on 2016-03-22 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering. The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts. The first part offers a comprehensive and prudently structured exposure to the fundamentals of sentiment analysis and natural language processing. The second part consists of studies devoted to the concepts, methodologies, and algorithmic developments elaborating on fuzzy linguistic aggregation to emotion analysis, carrying out interpretability of computational sentiment models, emotion classification, sentiment-oriented information retrieval, a methodology of adaptive dynamics in knowledge acquisition. The third part includes a plethora of applications showing how sentiment analysis and ontologies becomes successfully applied to investment strategies, customer experience management, disaster relief, monitoring in social media, customer review rating prediction, and ontology learning. This book is aimed at a broad audience of researchers and practitioners. Readers involved in intelligent systems, data analysis, Internet engineering, Computational Intelligence, and knowledge-based systems will benefit from the exposure to the subject matter. The book may also serve as a highly useful reference material for graduate students and senior undergraduate students.

Handbook of Natural Language Processing

Author : Nitin Indurkhya
Publisher : CRC Press
ISBN 13 : 142008593X
Total Pages : 704 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Natural Language Processing by : Nitin Indurkhya

Download or read book Handbook of Natural Language Processing written by Nitin Indurkhya and published by CRC Press. This book was released on 2010-02-22 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater

Deep Learning-Based Approaches for Sentiment Analysis

Author : Basant Agarwal
Publisher : Springer Nature
ISBN 13 : 9811512167
Total Pages : 326 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning-Based Approaches for Sentiment Analysis by : Basant Agarwal

Download or read book Deep Learning-Based Approaches for Sentiment Analysis written by Basant Agarwal and published by Springer Nature. This book was released on 2020-01-24 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Deep Natural Language Processing and AI Applications for Industry 5.0

Author : Tanwar, Poonam
Publisher : IGI Global
ISBN 13 : 1799877302
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Natural Language Processing and AI Applications for Industry 5.0 by : Tanwar, Poonam

Download or read book Deep Natural Language Processing and AI Applications for Industry 5.0 written by Tanwar, Poonam and published by IGI Global. This book was released on 2021-06-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

New Opportunities for Sentiment Analysis and Information Processing

Author : Sharaff, Aakanksha
Publisher : IGI Global
ISBN 13 : 179988063X
Total Pages : 311 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis New Opportunities for Sentiment Analysis and Information Processing by : Sharaff, Aakanksha

Download or read book New Opportunities for Sentiment Analysis and Information Processing written by Sharaff, Aakanksha and published by IGI Global. This book was released on 2021-06-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts. New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.

Natural Language Processing in Artificial Intelligence

Author : Brojo Kishore Mishra
Publisher : CRC Press
ISBN 13 : 1000711315
Total Pages : 297 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Natural Language Processing in Artificial Intelligence by : Brojo Kishore Mishra

Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Natural Language Processing

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 163 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Natural Language Processing by : Fouad Sabry

Download or read book Natural Language Processing written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Natural Language Processing Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that focuses on the interactions between computers and human language, specifically how to train computers to process and analyze massive volumes of natural language data. NLP is an interdisciplinary subfield that focuses on the interactions between computers and human language. The end goal is to have a computer that is capable of "understanding" the contents of documents, including the contextual intricacies of the language that is used within them. After that, the system is able to accurately extract information and insights contained within the papers, in addition to classifying and organizing the documents themselves. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Introduction to Natural Language Processing Chapter 2: Tokenization and Text Normalization Chapter 3: Part-of-Speech Tagging Chapter 4: Parsing and Syntax Trees Chapter 5: Named Entity Recognition Chapter 6: Sentiment Analysis Chapter 7: Machine Translation Chapter 8: Word Embeddings and Vector Space Models Chapter 9: Deep Learning for Natural Language Processing Chapter 10: Dialogue Systems and Chatbots (II) Answering the public top questions about natural language processing. (III) Real world examples for the usage of natural language processing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of natural language processing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of natural language processing.

Machine Learning and Deep Learning in Natural Language Processing

Author : Anitha S. Pillai
Publisher : CRC Press
ISBN 13 : 1000960897
Total Pages : 234 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning and Deep Learning in Natural Language Processing by : Anitha S. Pillai

Download or read book Machine Learning and Deep Learning in Natural Language Processing written by Anitha S. Pillai and published by CRC Press. This book was released on 2023-10-18 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists. This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.

Natural Language Processing for Global and Local Business

Author : Pinarbasi, Fatih
Publisher : IGI Global
ISBN 13 : 179984241X
Total Pages : 452 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Natural Language Processing for Global and Local Business by : Pinarbasi, Fatih

Download or read book Natural Language Processing for Global and Local Business written by Pinarbasi, Fatih and published by IGI Global. This book was released on 2020-07-31 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of natural language processing has become one of the preferred methods to better understand consumers, especially in recent years when digital technologies and research methods have developed exponentially. It has become apparent that when responding to international consumers through multiple platforms and speaking in the same language in which the consumers express themselves, companies are improving their standings within the public sphere. Natural Language Processing for Global and Local Business provides research exploring the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions. Featuring coverage on a broad range of topics such as computational linguistics, information engineering, and translation technology, this book is ideally designed for IT specialists, academics, researchers, students, and business professionals seeking current research on improving and understanding the consumer experience.

Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops

Author : Minrui Fei
Publisher : Springer Nature
ISBN 13 : 9813363789
Total Pages : 534 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops by : Minrui Fei

Download or read book Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops written by Minrui Fei and published by Springer Nature. This book was released on 2021-01-11 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the themed workshops of the 6th International Conference on Life System Modeling and Simulation, LSMS 2020, and of the 6th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2020, held in Hangzhou, China, in October 2020. The 36 full and 2 short papers presented were carefully reviewed and selected from over 165 submissions. The papers of this volume are organized in topical sections on: smart energy systems and devices; intelligent manufacturing and systems; and intelligent biology and information systems.

Sentiment Analysis and Deep Learning

Author : Subarna Shakya
Publisher : Springer Nature
ISBN 13 : 9811954437
Total Pages : 987 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Sentiment Analysis and Deep Learning by : Subarna Shakya

Download or read book Sentiment Analysis and Deep Learning written by Subarna Shakya and published by Springer Nature. This book was released on 2023-01-01 with total page 987 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes.

Natural Language Processing for Social Media, Third Edition

Author : Anna Atefeh Farzindar
Publisher : Springer Nature
ISBN 13 : 3031021754
Total Pages : 193 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Natural Language Processing for Social Media, Third Edition by : Anna Atefeh Farzindar

Download or read book Natural Language Processing for Social Media, Third Edition written by Anna Atefeh Farzindar and published by Springer Nature. This book was released on 2022-05-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.