IBM Watson Content Analytics: Discovering Actionable Insight from Your Content

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Publisher : IBM Redbooks
ISBN 13 : 0738439428
Total Pages : 598 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis IBM Watson Content Analytics: Discovering Actionable Insight from Your Content by : Wei-Dong (Jackie) Zhu

Download or read book IBM Watson Content Analytics: Discovering Actionable Insight from Your Content written by Wei-Dong (Jackie) Zhu and published by IBM Redbooks. This book was released on 2014-07-07 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.

IBM Watson Content Analytics

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Author :
Publisher :
ISBN 13 :
Total Pages : 598 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis IBM Watson Content Analytics by : Bob Foyle

Download or read book IBM Watson Content Analytics written by Bob Foyle and published by . This book was released on 2014 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Watson Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.

Installation and Configuration of IBM Watson Analytics and StoredIQ

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Author :
Publisher : BPB Publications
ISBN 13 : 9390684498
Total Pages : 550 pages
Book Rating : 4.96/5 ( download)

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Book Synopsis Installation and Configuration of IBM Watson Analytics and StoredIQ by : Alan Bluck

Download or read book Installation and Configuration of IBM Watson Analytics and StoredIQ written by Alan Bluck and published by BPB Publications. This book was released on 2021-04-30 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guidance for successful installation of a wide range of IBM software products Ê KEY FEATURESÊÊ _ Complete installation guide of IBM software systems, Redhat Enterprise, IBM Cloud, and Docker. _ Expert-led demonstration on complete configuration and implementation of IBM software solutions. _ Includes best practices and efficient techniques adopted by banks, financial services, and insurance companies. DESCRIPTIONÊ This book provides instructions for installation, configuration and troubleshooting sections to improve the IT support productivity and fast resolution of issues that arise. It covers readers' references that are available online and also step-by-step procedures required for a successful installation of a broad range ofÊ IBM Data Analytics products.Ê This book provides a holistic in-depth knowledge for students, software architects, installation specialists, and developers of Data Analysis software and a handbook for data analysts who want a single source of information on IBM Data Analysis Software products. This book provides a single resource that covers the latest available IBM Data Analysis software on the most recent RedHat Linux and IBM Cloud platforms. This book includes comprehensive technical guidance, enabling IT professionals to gain an in-depth knowledge of the installation of a broad range of IBM Software products across different operating systems.Ê WHAT YOU WILL LEARN _ Step-by-step installation and configuration of IBM Watson Analytics. _ Managing RedHat Enterprise Systems and IBM Cloud Platforms. _ Installing, configuring, and managing IBM StoredIQ. _ Best practices to administer and maintain IBM software packages. _ Upgrading VMware stations and installing Docker. WHO THIS BOOK IS FORÊÊ This book is a go-to guide for IT professionals who are primarilyÊ Solution Architects, Implementation Experts, or Technology Consultants of IBM Software suites. This will also be a useful guide for IT managers who are looking to adopt and enable their enterprise with IBM products. TABLE OF CONTENTS 1. Getting Started with IBM Resources for Analytics 2. IBM Component Software Compatibility Matrix 3. IBM Download Procedures 4. On-Premise Server Configurations and Prerequisites 5. IBM Fix Packs 6. IBM Cloud PAK Systems 7. RedHat OpenShift 4.x Installations 8. IBM Cloud Private System 9. Base VMWare System Platform 10. IBM Cloud Private Cluster on CentOS 8.0 11. UIMA Pipeline and Java Code Extensions 12. IBM Watson Explorer Foundational Components V12 13. IBM Watson Explorer oneWEX 12.0.3 14. IBM StoredIQ for Legal APPENDIX References and End of Life Support

IBM Content Analytics Version 2.2

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Publisher :
ISBN 13 : 9780738435282
Total Pages : 0 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis IBM Content Analytics Version 2.2 by : Wei-Dong Jackie Zhu

Download or read book IBM Content Analytics Version 2.2 written by Wei-Dong Jackie Zhu and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

IBM Content Analytics Version 2.1

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Publisher :
ISBN 13 : 9780738434605
Total Pages : 480 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis IBM Content Analytics Version 2.1 by : IBM Redbooks

Download or read book IBM Content Analytics Version 2.1 written by IBM Redbooks and published by . This book was released on 2010 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Building IBM Enterprise Content Management Solutions From End to End

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Publisher : IBM Redbooks
ISBN 13 : 0738439967
Total Pages : 636 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Building IBM Enterprise Content Management Solutions From End to End by : Wei-Dong Zhu

Download or read book Building IBM Enterprise Content Management Solutions From End to End written by Wei-Dong Zhu and published by IBM Redbooks. This book was released on 2014-10-22 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Enterprise Content Management (ECM) solutions provide efficient and effective ways to capture content, manage the content and business processes, discover insights from the content, and derive actions to improve business processes, products, and services. This IBM Redbooks® publication introduces and highlights some of the IBM ECM products that can be implemented and integrated together to create end-to-end ECM solutions: IBM Case Manager IBM Datacap IBM Content Manager OnDemand IBM Enterprise Records IBM WatsonTM Content Analytics IBM Content Classification For each product involved in the ECM solution, this IBM Redbooks publication briefly describes what it is, its functions and capabilities, and provides step-by-step procedures for installing, configuring, and implementing it. In addition, we provide procedures for integrating these products together to create an end-to-end ECM solution to achieve the overall solution objectives. Not all of the products are required to be integrated into an ECM solution. Depending on your business requirements, you can choose a subset of these products to be built into your ECM solutions. This book serves as a hands-on learning guide for information technology (IT) specialists who plan to build ECM solutions from end-to-end, for a proof of concept (PoC) environment, or for a proof of technology environment. For implementing a production-strength ECM solution, also refer to IBM Knowledge Center, IBM Redbooks publications, and IBM Software Services.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

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Publisher : Academic Press
ISBN 13 : 012386979X
Total Pages : 1096 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by : Gary Miner

Download or read book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications written by Gary Miner and published by Academic Press. This book was released on 2012-01-11 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--

Emerging Technologies in Computing

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Publisher : Springer
ISBN 13 : 3319954504
Total Pages : 318 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Emerging Technologies in Computing by : Mahdi H. Miraz

Download or read book Emerging Technologies in Computing written by Mahdi H. Miraz and published by Springer. This book was released on 2018-07-20 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the First International Conference on Emerging Technologies in Computing, iCEtiC 2018, held in London, UK, in August 2018. The 26 revised full papers were reviewed and selected from more than 59 submissions and are organized in topical sections covering Cloud, IoT and distributed computing, software engineering, communications engineering and vehicular technology, AI, expert systems and big data analytics, Web information systems and applications, security, database system, economics and business engineering, mLearning and eLearning.

Research Anthology on Big Data Analytics, Architectures, and Applications

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Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

IBM Watson Projects

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Publisher : Packt Publishing Ltd
ISBN 13 : 178934669X
Total Pages : 332 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis IBM Watson Projects by : James D. Miller

Download or read book IBM Watson Projects written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2018-09-29 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key FeaturesExplore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learningBuild projects to adopt IBM Watson across retail, banking, and healthcareLearn forecasting, anomaly detection, and pattern recognition with ML techniquesBook Description IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience. What you will learnBuild a smart dialog system with cognitive assistance solutionsDesign a text categorization model and perform sentiment analysis on social media datasetsDevelop a pattern recognition application and identify data irregularities smartlyAnalyze trip logs from a driving services company to determine profitProvide insights into an organization's supply chain data and processesCreate personalized recommendations for retail chains and outletsTest forecasting effectiveness for better sales prediction strategiesWho this book is for This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.