Text Speech Analytics
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Text And Speech Analytics
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Author : Mrs.B.KALA
language : en
Publisher: SK Research Group of Companies
Release Date : 2023-12-23
Text And Speech Analytics written by Mrs.B.KALA and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-23 with Mathematics categories.
Mrs.B.KALA, Assistant Professor, Department of Education, PSN College of Education, Melathidiyoor, Tirunelveli, Tamil Nadu, India. Dr.S.PRIYA, Assistant Professor, Department of Tamil, Vaigai Arts & Science Women's College, Muthampatty, Valappady, Salem, Tamil Nadu, India. Dr.P.VENKATESAN, Assistant Professor, Department of Tamil, Kandaswami Kandar's College, P. Velur, Namakkal, Tamil Nadu, India. Dr.R.BHAVANI, Professor, Institute of Computer Science and Engineering, Saveetha School of Engineering - SIMATS University, Chennai, Tamil Nadu, India. Dr.H.ANWER BASHA, Associate Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, SIMATS University, Chennai, Tamil Nadu, India.
Introduction To Linguistic Annotation And Text Analytics
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Author : Graham Wilcock
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2009
Introduction To Linguistic Annotation And Text Analytics written by Graham Wilcock and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits. This book provides a basic introduction to both fields, and aims to show that good linguistic annotations are the essential foundation for good text analytics. After briefly reviewing the basics of XML, with practical exercises illustrating in-line and stand-off annotations, a chapter is devoted to explaining the different levels of linguistic annotations. The reader is encouraged to create example annotations using the WordFreak linguistic annotation tool. The next chapter shows how annotations can be created automatically using statistical NLP tools, and compares two sets of tools, the OpenNLP and Stanford NLP tools. The second half of the book describes different annotation formats and gives practical examples of how to interchange annotations between different formats using XSLT transformations. The two main text analytics architectures, GATE and UIMA, are then described and compared, with practical exercises showing how to configure and customize them. The final chapter is an introduction to text analytics, describing the main applications and functions including named entity recognition, coreference resolution and information extraction, with practical examples using both open source and commercial tools. Copies of the example files, scripts, and stylesheets used in the book are available from the companion website, located at http: //sites.morganclaypool.com/wilcock. Table of Contents: Working with XML / Linguistic Annotation / Using Statistical NLP Tools / Annotation Interchange / Annotation Architectures / Text Analytics
Text Speech And Dialogue
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Author : Petr Sojka
language : en
Publisher: Springer
Release Date : 2018-09-07
Text Speech And Dialogue written by Petr Sojka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.
This book constitutes the refereed proceedings of the 21st International Conference on Text, Speech, and Dialogue, TSD 2018, held in Brno, Czech Republic, in September 2018. The 56 regular papers were carefully reviewed and selected from numerous submissions. They focus on topics such as corpora and language resources, speech recognition, tagging, classification and parsing of text and speech, speech and spoken language generation, semantic processing of text and search, integrating applications of text and speech processing, machine translation, automatic dialogue systems, multimodal techniques and modeling.
Text Analytics
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Author : John Atkinson-Abutridy
language : en
Publisher: CRC Press
Release Date : 2022-04-28
Text Analytics written by John Atkinson-Abutridy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-28 with Computers categories.
Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery from unstructured information sources, for both industrial and academic purposes. The book introduces the main concepts, models, and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources. Features: Easy-to-follow step-by-step concepts and methods Every chapter is introduced in a very gentle and intuitive way so students can understand the WHYs, WHAT-IFs, WHAT-IS-THIS-FORs, HOWs, etc. by themselves Practical programming exercises in Python for each chapter Includes theory and practice for every chapter, summaries, practical coding exercises for target problems, QA, and sample code and data available for download at https://www.routledge.com/Atkinson-Abutridy/p/book/9781032249797
Data Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2020-08-06
Data Analytics And Ai written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
An Introduction To Text To Speech Synthesis
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Author : Thierry Dutoit
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
An Introduction To Text To Speech Synthesis written by Thierry Dutoit 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 2013-12-01 with Technology & Engineering categories.
An Introduction to Text-to-Speech Synthesis is a comprehensive introduction to the subject. The author treats two areas of speech synthesis: Part I of the book concerns natural language processing and the inherent problems it presents for speech synthesis; Part II focuses on digital signal processing, with an emphasis on the concatenative approach. Both parts of the text guide the reader through the material in a step-by-step easy-to-follow way. This is the first book to treat the topic of speech synthesis from the perspective of two different engineering approaches. The book will be of interest to researchers and students in phonetics and speech communication, in both academia and industry.
Machine Learning For Natural Language Processing Insights Into Text And Speech Analysis
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Author : Mr. Harish Reddy Gantla
language : en
Publisher: Xoffencerpublication
Release Date : 2024-05-16
Machine Learning For Natural Language Processing Insights Into Text And Speech Analysis written by Mr. Harish Reddy Gantla and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
The fourth industrial revolution, according to the World Economic Forum, is about to begin. This will blend the physical and digital worlds in ways we couldn’t imagine a few years ago. Advances in machine learning and AI will help usher in these existing changes. Machine learning is transformative which opens up new scenarios that were simply impossible a few years ago. Profound gaining addresses a significant change in perspective from customary programming improvement models. Instead of having to write explicit top-down instructions for how software should behave, deep learning allows your software to generalize rules of operations. Deep learning models empower the engineers to configure, characterized by the information without the guidelines to compose. Deep learning models are conveyed at scale and creation applications—for example, car, gaming, medical services, and independent vehicles. Deep learning models employ artificial neural networks, which are computer architectures comprising multiple layers of interconnected components. By avoiding data transmission through these connected units, a neural network can learn how to approximate the computations required to transform inputs to outputs. Deep learning models require top-notch information to prepare a brain organization to carry out a particular errand. Contingent upon your expected applications, you might have to get thousands to millions of tests. This chapter takes you on a journey of AI from where it got originated. It does not just involve the evolution of computer science, but it involves several fields say biology, statistics, and probability. Let us start its span from biological neurons; way back in 1871, Joseph von Gerlach proposed the reticulum theory, which asserted that “the nervous system is a single continuous network rather than a network of numerous separate cells.” According to him, our human nervous system is a single system and not a network of discrete cells. Camillo Golgi was able to examine neural tissues in greater detail than ever before, thanks to a chemical reaction he discovered. He concluded that the human nervous system was composed of a single cell and reaffirmed his support for the reticular theory. In 1888, Santiago Ramon y Cajal used Golgi’s method to examine the nervous system and concluded that it is a collection of distinct cells rather than a single cell.
Unstructured Data Analytics
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Author : Jean Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13
Unstructured Data Analytics written by Jean Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Computers categories.
Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.
Automatic Speech Recognition And Translation For Low Resource Languages
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Author : L. Ashok Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-28
Automatic Speech Recognition And Translation For Low Resource Languages written by L. Ashok Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Computers categories.
AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.
Crm Goes Digital
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Author : Sabine Kirchem
language : en
Publisher: Springer Nature
Release Date : 2025-02-12
Crm Goes Digital written by Sabine Kirchem and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Business & Economics categories.
Customer management has taken on entirely new forms since digitalization. This brand-new CRM book is dedicated to the latest approaches that dominate sales, marketing, and service in this era of digitalization. Topics include Omni-Channel or mobile CRM concepts, Big Data and social media tools, new customer experience or loyalty approaches, and Artificial Intelligence, etc. In this forward-looking, practice-oriented, and conceptually sound customer relationship management book, readers will learn about future developments in customer management using digital CRM (dCRM), product, and service optimization. The book also focuses on sales management and the improvement of sales performance through radical customer orientation. The chapters are written by, and for, academic, consulting, and company experts who appreciate a theoretical and practical approach to the topic.