Text and Social Media Analytics for Fake News and Hate Speech Detection, Kumar Soni, Hemant ; Sharma, Sanjiv ; Sinha, G R
Автор: Thuraisingham, Bhavani Parveen, Pallabi Masud, Mohammad Mehedy Khan, Latifur Название: Big data analytics with applications in insider threat detection ISBN: 0367657422 ISBN-13(EAN): 9780367657420 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Нет в наличии. Описание: Antivirus software uses algorithms to detect viruses Reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud framework, and the applications for insider threat detection.
Автор: Vijayan K. Asari Название: Wide Area Surveillance ISBN: 3642378404 ISBN-13(EAN): 9783642378409 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a system for visual surveillance using intelligent cameras. It details new algorithms for signal and imaging processing for image reconstruction.
Автор: Isupova Название: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video ISBN: 3319755072 ISBN-13(EAN): 9783319755076 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.
Автор: Walker H. Land Jr.; J. David Schaffer Название: The Art and Science of Machine Intelligence ISBN: 3030184951 ISBN-13(EAN): 9783030184957 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book’s goal is to allow readers to select one or more of these methods to quickly apply to their own tasks.Includes a variety of machine intelligent technologies and illustrates how they can work togetherShows evolutionary feature subset selection combined with support vector machines and multiple classifiers combinedIncludes a running case study on intelligent processing relating to Alzheimer’s / dementia detection, in addition to several applications of the machine hybrid algorithms
Introduction.- Background for Genetic Algorithms.- Support Vector Machines (SVMs).- The Generalized Regression Neural Network (GRNN) Oracle.- Alzheimer's Disease (AD) Background.- Genetic Algorithm (GA)-SVM Paradigm.- GA-SVM Paradigm Applied to Detecting AD from Speech.- Classical Bayesian Networks (BN) MI Developed Bayesian Networks.- Generalization of MI methods.- Selected research studies.- Conclusion.
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP.
You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well.
Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques.
There is also a chapter dedicated to semantic analysis where you'll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release.
What You'll Learn -Understand NLP and text syntax, semantics and structure-Discover text cleaning and feature engineering-Review text classification and text clustering - Assess text summarization and topic models- Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
Автор: Marie Vans, Steven Simske Название: Functional Applications of Text Analytics Systems ISBN: 8770223432 ISBN-13(EAN): 9788770223430 Издательство: Taylor&Francis Рейтинг: Цена: 99010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Text analytics consist of the statistics about a text element, which includes the word count, the word histogram, and the word frequency histogram. Most text documents of value are related to other—sometimes many other—documents, and so analytics describing the relative frequency of terms in a document compared to its peers are important for defining key words (tagging, labeling, indexing), search-responsive terms (query terms), and compressed versions of the documents (key words, summary, etc.).This clearly written text explains the functional applications of search, translation, optimization, and learning with regard to text analytics. Generation of analytics is aided by a hybrid, ensemble, or other combinatorial approach in which two or more effective analytic processes are used simultaneously, and their outputs combined to form a better “consensus”. Additional value to the preservation of the information is provided through these methods. Also, since they encompass capabilities of two or more knowledge-generating systems, they can create a “superset” of access points to the data generated. The book also describes the role of functional approaches in the testing and configuration of these systems.
Автор: Khosravy Название: Frontiers in Fake Media Generation and Detection ISBN: 9811915237 ISBN-13(EAN): 9789811915239 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones’ attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.
Автор: Mukhopadhyay, Sayan Samanta, Pratip Название: Advanced data analytics using python ISBN: 1484280040 ISBN-13(EAN): 9781484280041 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll Learn * Build intelligent systems for enterprise * Review time series analysis, classifications, regression, and clustering * Explore supervised learning, unsupervised learning, reinforcement learning, and transfer learning * Use cloud platforms like GCP and AWS in data analytics * Understand Covers design patterns in Python Who This Book Is For Data scientists and software developers interested in the field of data analytics.
Автор: Singh, Jyotika Название: Natural Language Processing in the Real World ISBN: 1032195339 ISBN-13(EAN): 9781032195339 Издательство: Taylor&Francis Рейтинг: Цена: 66340.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Khosravy Название: Frontiers in Fake Media Generation and Detection ISBN: 9811915261 ISBN-13(EAN): 9789811915260 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones’ attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.
Автор: Bj?rn Granstr?m; D. House; I. Karlsson Название: Multimodality in Language and Speech Systems ISBN: 9048160243 ISBN-13(EAN): 9789048160242 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is based on contributions to the Seventh European Summer School on Language and Speech Communication that was held at KTH in Stockholm, Sweden, in July of 1999 under the auspices of the European Language and Speech Network (ELSNET).
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