Emotion Detection In Natural Language Processing
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Emotion Detection In Natural Language Processing
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Author : Federica Cavicchio
language : en
Publisher: Springer Nature
Release Date : 2024-09-29
Emotion Detection In Natural Language Processing written by Federica Cavicchio and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-29 with Computers categories.
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion.
Opinions Sentiment And Emotion In Text
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Author : Bing Liu
language : en
Publisher: Cambridge University Press
Release Date : 2015-06-04
Opinions Sentiment And Emotion In Text written by Bing Liu and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-04 with Computers categories.
This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.
Computational Intelligence Methods For Sentiment Analysis In Natural Language Processing Applications
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Author : D. Jude Hemanth
language : en
Publisher: Elsevier
Release Date : 2024-01-19
Computational Intelligence Methods For Sentiment Analysis In Natural Language Processing Applications written by D. Jude Hemanth and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-19 with Computers categories.
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
Tensorflow For Deep Learning
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Author : Reza Zadeh Bosagh. Bharath Ramsundar
language : en
Publisher:
Release Date : 2018
Tensorflow For Deep Learning written by Reza Zadeh Bosagh. Bharath Ramsundar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Natural Language Processing With Ai Agents Techniques For Real World Problems
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Natural Language Processing With Ai Agents Techniques For Real World Problems written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a comprehensive exploration of Natural Language Processing (NLP) and its application in building intelligent AI agents capable of understanding and generating human-like interactions. It covers fundamental concepts in NLP, such as tokenization, part-of-speech tagging, and named entity recognition, followed by core machine learning techniques for language understanding. The book delves into the key architectures in NLP, from traditional machine learning approaches like Naïve Bayes and SVMs to advanced deep learning models, including RNNs, LSTMs, and transformers, with a special focus on large language models (LLMs) that have transformed the field. The second section discusses the development of NLP-powered AI agents, focusing on conversational AI and chatbots, highlighting the difference between rule-based and AI-driven models. It explores designing conversational agents and managing multi-turn dialogues. The section also covers speech recognition systems, combining NLP with automatic speech recognition (ASR) for creating voice-enabled AI agents. Techniques for natural language understanding (NLU), intent detection, and semantic parsing are explored, emphasizing how AI agents interpret and respond to user queries effectively. The book also examines the role of NLP in content generation, including natural language generation (NLG) for text summarization and AI-driven content creation. Advanced applications such as sentiment analysis, question-answering systems, multimodal NLP, and emotion detection are explored, demonstrating the broad potential of NLP agents across industries like healthcare, customer support, and robotics. The final part of the book provides practical guidance on training, fine-tuning, and deploying NLP-based AI systems at scale, with insights into cloud-based solutions and real-time processing. It concludes with a discussion of the future of NLP, focusing on AI ethics, the potential of generative AI, and the evolving trends in human-AI collaboration. This book serves as a comprehensive guide for both practitioners and researchers, offering insights into the cutting-edge techniques and applications of NLP and AI agents in solving real-world problems.
Natural Language Processing And Information Systems
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Author : Ryutaro Ichise
language : en
Publisher: Springer Nature
Release Date : 2025-08-01
Natural Language Processing And Information Systems written by Ryutaro Ichise and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
The two-volume set LNCS 15836 and 15837 constitutes the proceedings of the 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, held in Kanazawa, Japan, during July 4–6, 2025. The 33 full papers, 19 short papers and 2 demo papers presented in this volume were carefully reviewed and selected from 120 submissions. The proceedings contain novel and significant research contributions addressing theoretical aspects, algorithms, applications, architectures, resources, and other aspects of NLP, as well as survey and discussion papers.
Natural Language Processing And Information Systems
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Author : Rafael Munoz
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-22
Natural Language Processing And Information Systems written by Rafael Munoz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-22 with Computers categories.
This book constitutes the refereed proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, held in Alicante, Spain, in June 2011. The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Language Processing related areas and present current research on topics such as natural language in conceptual modeling, NL interfaces for data base querying/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.
Natural Language Processing And Chinese Computing
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Author : Fei Liu
language : en
Publisher: Springer Nature
Release Date : 2023-10-07
Natural Language Processing And Chinese Computing written by Fei Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-07 with Computers categories.
This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The 143 regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.
Affective Computing For Social Good
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Author : Muskan Garg
language : en
Publisher: Springer Nature
Release Date : 2024-10-07
Affective Computing For Social Good written by Muskan Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Computers categories.
Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities. Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently. As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation. The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care. Addressing data challenges, "Enhancing Affective Computing with Data Augmentation: Strategies for Overcoming Limited Data Availability" presents solutions for imbalances affecting model performance. "Advancements in Multimodal Emotion Recognition" highlights the integration of facial expressions with physiological signals to improve emotion recognition accuracy and reliability. Concluding with "Ethical Considerations in Affective Computing" and "Cognitive Currents: A Path from Neuroscience to Consciousness," the book connects technical advancements in affective computing with broader ethical and philosophical inquiries surrounding consciousness and the human experience. Features: Helps readers understand the potential benefits of emotionally intelligent AI systems, such as improving mental health care, enhancing education, or promoting more ethical decision-making. Addresses ethical considerations related to the development and deployment of emotionally intelligent AI systems, helping readers to become more aware of the potential risks and trade-offs involved. Presents new approaches or frameworks for developing emotionally intelligent AI systems, providing readers with innovative ideas and perspectives. Provides examples of successful case studies where emotionally intelligent AI systems were used for social good, which may inspire readers to think about how they can contribute to society through AI development. Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world.
Natural Language Processing Nlp For Data
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Author : Dr. Rajinder Kumar
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-02-25
Natural Language Processing Nlp For Data written by Dr. Rajinder Kumar and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
When it comes to extracting, analysing, and interpreting data across a wide range of fields, Natural Language Processing (NLP) has completely revolutionised the process. Through the process of allowing machines to comprehend, interpret, and synthesise human language, natural language processing (NLP) makes it possible to turn unstructured textual input into organised forms of information. A number of important natural language processing (NLP) techniques, including as tokenization, named entity recognition (NER), sentiment analysis, and text summarization, are discussed in this book, along with their applications in data-driven decision made. In addition, we highlight recent developments in deep learning models, such as transformer topologies (for example, BERT and GPT), which have increased natural language processing (NLP) performance dramatically. In addition, difficulties about the quality of the data, the presence of bias, and the effectiveness of the calculation are brought to light. In its conclusion, the article highlights the future potential of natural language processing (NLP) in domains such as healthcare, finance, and consumer analytics, all of which are areas in which data-driven insights play an important role.