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Text Analytics Unleashed Enhancing Short Text Conversations And Tackling Sms Spam With Deep Learning And Machine Learning Techniques Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Text Analytics Unleashed Enhancing Short Text Conversations And Tackling Sms Spam With Deep Learning And Machine Learning Techniques book. This book definitely worth reading, it is an incredibly well-written.
Author : R.Pallavi Reddy
Publisher : Archers & Elevators Publishing House
Page : 89 pages
File Size : 48,8 Mb
Release : 2024-06-09
Category : Antiques & Collectibles
ISBN : 9788119385416
Author : Tom Reamy
Publisher : Information Today
Page : 0 pages
File Size : 40,7 Mb
Release : 2016
Category : COMPUTERS
ISBN : 1573875295
"Deep text is an approach to text analytics that adds depth and intelligence to our ability to utilize a growing mass of unstructured text. In this book, author Tom Reamy explains what deep text is and surveys its many uses and benefits. Reamy describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively." -- Provided by publisher.
Author : Murugan Anandarajan,Chelsey Hill,Thomas Nolan
Publisher : Springer
Page : 294 pages
File Size : 53,6 Mb
Release : 2018-10-19
Category : Business & Economics
ISBN : 9783319956633
This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.
Author : Brett Lantz
Publisher : Packt Publishing Ltd
Page : 587 pages
File Size : 49,8 Mb
Release : 2013-10-25
Category : Computers
ISBN : 9781782162155
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Author : Nripendra P. Rana,Emma L. Slade,Ganesh P. Sahu,Hatice Kizgin,Nitish Singh,Bidit Dey,Anabel Gutierrez,Yogesh K. Dwivedi
Publisher : Springer Nature
Page : 337 pages
File Size : 54,9 Mb
Release : 2019-11-11
Category : Business & Economics
ISBN : 9783030243746
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Author : Steven Bird,Ewan Klein,Edward Loper
Publisher : "O'Reilly Media, Inc."
Page : 506 pages
File Size : 48,6 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9780596555719
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Author : Ganapathi, Padmavathi,Shanmugapriya, D.
Publisher : IGI Global
Page : 482 pages
File Size : 55,5 Mb
Release : 2019-07-26
Category : Computers
ISBN : 9781522596134
As the advancement of technology continues, cyber security continues to play a significant role in todays world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.
Author : Basant Agarwal,Valentina Emilia Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
Publisher : Academic Press
Page : 367 pages
File Size : 51,7 Mb
Release : 2020-01-14
Category : Science
ISBN : 9780128190623
Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis
Author : Osval Antonio Montesinos López,Abelardo Montesinos López,José Crossa
Publisher : Springer Nature
Page : 707 pages
File Size : 52,6 Mb
Release : 2022-02-14
Category : Technology & Engineering
ISBN : 9783030890100
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Author : John Anderson,E. R. Bareiss,Ryszard Stanisław Michalski
Publisher : Unknown
Page : 128 pages
File Size : 47,8 Mb
Release : 19??
Category : Electronic
ISBN : OCLC:632850500
Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 386 pages
File Size : 45,7 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979853
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
Author : Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Publisher : O'Reilly Media
Page : 455 pages
File Size : 47,7 Mb
Release : 2020-06-17
Category : Computers
ISBN : 9781492054023
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Author : Dan Gillmor
Publisher : "O'Reilly Media, Inc."
Page : 336 pages
File Size : 49,7 Mb
Release : 2006-01-24
Category : Computers
ISBN : 9780596102272
Looks at the emerging phenomenon of online journalism, including Weblogs, Internet chat groups, and email, and how anyone can produce news.
Author : Kenneth C. Laudon,Jane Price Laudon
Publisher : Pearson Educación
Page : 618 pages
File Size : 44,8 Mb
Release : 2004
Category : Business & Economics
ISBN : 9702605288
Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.
Author : Gina Pera
Publisher : 1201 Alarm Press
Page : 384 pages
File Size : 47,9 Mb
Release : 2022-03-31
Category : Family & Relationships
ISBN : 9780981548777
Winner of four national book awards! Revised First Edition, 2022 Is It You, Me, or Adult ADHD? has helped thousands of readers worldwide to understand how this highly variable syndrome affects them. Professionals and couples who have elevated their lives with its wisdom recommend it to others. In this highly endorsed, clearly written, and comprehensive guide, Gina Pera guides you in making sense of your own Adult ADHD Roller Coaster. She helps you to: —View ADHD as a variable syndrome affecting individuals, not clones —Realize how a later-in-life ADHD diagnosis creates additional issues —Revise misinterpretations of symptoms, forged long ago, that can thwart progress now —Heal poor coping responses and dysfunctional interaction cycles, as individuals and couples —Implement practical supports to completing routine tasks and reaching long-term goals, with teamwork! —Appreciate how poorly managed ADHD can also negatively affect the spouses and other loved ones. —Delve into "denial's" dual nature — physiological and psychological — and reach through it —Adopt proven approaches that remain extremely rare in clinical settings The science has been clear since 1994, when Adult ADHD was declared a medical diagnosis. Still, the public harbors misconceptions, and that means millions suffer needlessly. That includes millions of couples who can't understand why their lives together are so hard—often despite many attempts at therapy. The simple truth is: Everyone knows someone with adult ADHD. Yet we often misattribute the symptoms to anxiety, depression, or even laziness, selfishness, “addictive personality,” or moodiness. Some assume that ADHD means "little boys with ants in their pants." In fact, childhood hyperactivity goes "underground" as the person matures, resulting in a mentally restless state. Meticulously researched and written by Gina Pera, Is It You, Me, or Adult ADHD? helps you recognizing the behaviors where you least expect them and developing compassion for everyone wrestling with unrecognized ADHD symptoms. It also offers: —Explanations from preeminent experts —Plenty of real-life details —Easy-to-understand, detailed advice on the best treatment options and practical solutions. The revolutionary message is one of hope for millions of people—and a joyous opportunity for a better life.