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Computational Intelligence Methods For Sentiment Analysis In Natural Language Processing Applications
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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
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
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.
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:
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.
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.
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
Book Synopsis Opinions, Sentiment, and Emotion in Text by : Bing Liu
Download or read book Opinions, Sentiment, and Emotion in Text written by Bing Liu and published by Cambridge University Press. This book was released on 2015-06-04 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.
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.
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.
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.
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.
Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria
Download or read book Multimodal Sentiment Analysis written by Soujanya Poria and published by Springer. This book was released on 2018-10-24 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.
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.
Book Synopsis Natural Language Processing for Social Media, Second Edition by : Atefeh Farzindar
Download or read book Natural Language Processing for Social Media, Second Edition written by Atefeh Farzindar and published by Springer Nature. This book was released on 2017-12-15 with total page 188 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 which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We 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 (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review 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) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.
Book Synopsis Computational Intelligence for Pattern Recognition by : Witold Pedrycz
Download or read book Computational Intelligence for Pattern Recognition written by Witold Pedrycz and published by Springer. This book was released on 2018-04-30 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.
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.
