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Author: R.Pallavi Reddy
Publisher: Archers & Elevators Publishing House
Published:
Total Pages: 89
ISBN-13: 8119385411
DOWNLOAD EBOOK →Author: Tom Reamy
Publisher: Information Today
Published: 2016
Total Pages: 0
ISBN-13: 9781573875295
DOWNLOAD EBOOK →"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: N. A. S. Vinoth
Publisher: Mohammed Abdul Sattar
Published: 2024-05-27
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOK →Email spam, also known as unsolicited bulk email (UBE), is the term used to describe the mass distribution of unwanted or irrelevant messages to a large number of recipients via email. These messages are typically sent by commercial entities or individuals with the intention of promoting a product or service, scamming recipients, or spreading malware. Spam emails often contain misleading subject lines, deceptive content, and fake sender information. They can also be used for phishing attacks, in which the sender attempts to trick recipients into providing personal information or clicking on malicious links. Email spam is a widespread problem that affects individuals, businesses, and organizations of all sizes [1]. It can clog up inboxes, waste time and resources, and pose a security risk to users. As a result, many email providers have implemented various spam filtering techniques to automatically detect and block spam messages before they reach the recipient's inbox. Despite these efforts, spammers continue to find new ways to evade filters and send unwanted messages, making email spam an ongoing challenge for internet users [2]. Deep learning is a powerful technique that can be used to build robust email spam detection systems. The deep learning model involved in automated learning from the pattern those are complex with the raw data those are suitable for the spam detection. An automated system to detect unsolicited mail (spam) using advanced machine learning techniques, leverages a Bidirectional Long Short-Term Memory (BiLSTM) network to analyze the sequential nature of email content, improving the capture of contextual information from both past and future data points. To further enhance classification accuracy, the system integrates a Gradient-Frequency-based Scalable Classifier (GFGSC), which refines the decision boundaries based on the gradient and frequency of features. Additionally, the system employs the Grasshopper Optimization Algorithm (GOA) to optimize the hyperparameters of the BiLSTM and GFGSC models.
Author: Murugan Anandarajan
Publisher:
Published: 2019-11-17
Total Pages: 316
ISBN-13: 9783030070809
DOWNLOAD EBOOK →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
Published: 2013-10-25
Total Pages: 587
ISBN-13: 1782162151
DOWNLOAD EBOOK →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
Publisher: Springer Nature
Published: 2019-11-11
Total Pages: 337
ISBN-13: 3030243745
DOWNLOAD EBOOK →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: Kenneth C. Laudon
Publisher: Pearson Educación
Published: 2004
Total Pages: 618
ISBN-13: 9789702605287
DOWNLOAD EBOOK →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: Ganapathi, Padmavathi
Publisher: IGI Global
Published: 2019-07-26
Total Pages: 482
ISBN-13: 1522596135
DOWNLOAD EBOOK →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: Dan Gillmor
Publisher: "O'Reilly Media, Inc."
Published: 2006-01-24
Total Pages: 336
ISBN-13: 0596102275
DOWNLOAD EBOOK →Looks at the emerging phenomenon of online journalism, including Weblogs, Internet chat groups, and email, and how anyone can produce news.
Author: James W. Pennebaker
Publisher: Lawrence Erlbaum Assoc Incorporated
Published: 1999-04-01
Total Pages:
ISBN-13: 9781563212031
DOWNLOAD EBOOK →Language, whether spoken or written, is an important window into people's emotional and cognitive worlds. Text analysis of these narratives, focusing on specific words or classes of words, has been used in numerous research studies including studies of emotional, cognitive, structural, and process components of individuals' verbal and written language. It was in this research context that the LIWC program was developed. The program analyzes text files on a word-by-word basis, calculating percentage words that match each of several language dimensions. Its output is a text file that can be opened in any of a variety of applications, including word processors and spreadsheet programs. The program has 68 pre-set dimensions (output variables) including linguistic dimensions, word categories tapping psychological constructs, and personal concern categories, and can accommodate user-defined dimensions as well. Easy to install and use, this software offers researchers in social, personality, clinical, and applied psychology a valuable tool for quantifying the rich but often slippery data provided in the form of personal narratives. The software comes complete on one 31/2 diskette and runs on any Windows-based computer.
