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The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
by Raoul BiagioniThe research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing.
The Sentient Machine: The Coming Age of Artificial Intelligence
by Amir Husain&“A must-read for anyone looking to understand how artificial intelligence is poised to transform human society and life.&” —Paul Scharre, Author of Four Battlegrounds: Power in the Age of Artificial Intelligence The future is now. Acclaimed technologist and inventor Amir Husain explains how we can live amidst the coming age of sentient machines and artificial intelligence—and not only survive, but thrive.Artificial &“machine&” intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at the drugstore, and are unable to live without our smartphones. The discussion around AI is polarized; people think either machines will solve all problems for everyone, or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening. But what if our greatest role as humans so far is that of creators? Amir Husain, a brilliant inventor and computer scientist, argues that we are on the cusp of writing our next, and greatest, creation myth. It is the dawn of a new form of intellectual diversity, one that we need to embrace in order to advance the state of the art in many critical fields, including security, resource management, finance, and energy. &“In The Sentient Machine, Husain prepares us for a brighter future; not with hyperbole about right and wrong, but with serious arguments about risk and potential&” (Dr. Greg Hyslop, Chief Technology Officer, The Boeing Company). He addresses broad existential questions surrounding the coming of AI: Why are we valuable? What can we create in this world? How are we intelligent? What constitutes progress for us? And how might we fail to progress? Husain boils down complex computer science and AI concepts into clear, plainspoken language and draws from a wide variety of cultural and historical references to illustrate his points. Ultimately, Husain challenges many of our societal norms and upends assumptions we hold about &“the good life.&”
Sentiment-Analyse deutschsprachiger Meinungsäußerungen: Grundlagen, Methoden und praktische Umsetzung
by Melanie Siegel Melpomeni AlexaDer Zugang zu Information ist durch das Internet erheblich verändert und erleichtert worden. Gleichzeitig gibt es seit dem Web 2.0 die Möglichkeit für alle Internet-Nutzer, selbst Inhalte beizusteuern, indem sie in Foren schreiben, oder Twitter, Xing, LinkedIn, Facebook oder andere soziale Medien nutzen und auf veröffentliche Posts z. B. durch Kommentare reagieren. Diese Fülle an Informationen und Meinungen ist ein wertvoller und in der Regel sehr großer Datenschatz, den man nur mit automatischen Verfahren sinnvoll nutzen kann.Die automatische Analyse von Meinungsäußerungen gehört in die Anwendungsbereiche Informationsextraktion und Inhaltsanalyse sowie Text Mining. Aus Texten von Internet-Nutzern werden Informationen extrahiert und analysiert, wie sie sich zu bestimmten Themen, Produkten oder Ereignissen äußern.Dieses Buch gibt eine systematische Einführung in Methoden der automatischen Analyse von Meinungsäußerungen und zeigt die Anwendung der beschriebenen Methoden in Programmierübungen. Der Fokus liegt dabei auf deutschsprachige Daten, also auf linguistischen Ressourcen sowie Methoden zur automatischen Analyse für die deutsche Sprache. Viele Übungsaufgaben sowie in Python implementierte Programmierbeispiele und -aufgaben machen das Buch zum optimalen Begleiter für Studium und Selbststudium.
Sentiment Analysis
by Bing LiuSentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions (Studies in Natural Language Processing)
by Bing LiuSentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022 (Advances in Intelligent Systems and Computing #1432)
by Subarna Shakya Ke-Lin Du Klimis NtalianisThis book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes.
Sentiment Analysis and its Application in Educational Data Mining (SpringerBriefs in Applied Sciences and Technology)
by Soni SwetaThe book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.
Sentiment Analysis and Ontology Engineering
by Witold Pedrycz Shyi-Ming ChenThis editedvolume provides the reader with a fully updated, in-depth treatise on the emergingprinciples, conceptual underpinnings, algorithms and practice of ComputationalIntelligence in the realization of concepts and implementation of models ofsentiment analysis and ontology -oriented engineering. The volume involves studies devotedto key issues of sentiment analysis, sentiment models, and ontologyengineering. The book is structured into three main parts. The first partoffers a comprehensive and prudently structured exposure to the fundamentals ofsentiment analysis and natural language processing. The second part consists ofstudies devoted to the concepts, methodologies, and algorithmic developmentselaborating on fuzzy linguistic aggregation to emotion analysis, carrying outinterpretability of computational sentiment models, emotion classification,sentiment-oriented information retrieval, a methodology of adaptive dynamics inknowledge acquisition. The third part includes a plethora of applicationsshowing how sentiment analysis and ontologies becomes successfully applied toinvestment strategies, customer experience management, disaster relief,monitoring in social media, customer review rating prediction, and ontologylearning. This book isaimed at a broad audience of researchers and practitioners. Readers involved inintelligent systems, data analysis, Internet engineering, ComputationalIntelligence, and knowledge-based systems will benefit from the exposure to thesubject matter. The book may also serveas a highly useful reference material for graduate students and seniorundergraduate students.
Sentiment Analysis in the Medical Domain
by Kerstin DeneckeSentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance. Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existing methods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.
Sentiment Analysis Unveiled: Techniques, Applications, and Innovations (Edge AI in Future Computing)
by Neha Nandal Rohit Tanwar Varun SapraThis book is a comprehensive exploration into the realm of sentiment analysis. From deciphering customer sentiments for businesses to understanding public opinions on social media or predicting market trends, the applications are multifaceted and impactful.Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is more than just algorithms and models; it’s about unraveling the emotions, opinions, and perceptions encapsulated within the vast sea of textual data. This book explores topics from opinion mining, social media analysis, deep learning, security concerns, and healthcare systems, and it also delves into the ethical and legal implications of sentiment analysis. Through practical examples, case studies, and discussions on cutting‑edge innovations, the editors aim is to provide a holistic view that empowers you to navigate this field confidently. It involves the analysis of user‑generated content, deciphering sentiments expressed on platforms like Twitter and Facebook, and provides valuable insights into public opinion, brand perception, and emerging trends in the digital landscape.This book is intended for professionals, researchers, and scientists in the field of artificial intelligence and sentiments analysis; it will serve as a valuable resource for both beginners and experienced professionals in the field.
Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021 (Advances in Intelligent Systems and Computing #1408)
by Subarna Shakya Valentina Emilia Balas Sinchai Kamolphiwong Ke-Lin DuThis book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
SEO And Search Marketing In A Week: Search Engine Optimization And Search Engine Marketing Made Easy In Seven Simple Steps
by Nick SmithSEO and Search Marketing In A Week is a simple and straightforward guide to mastering the basics, giving you everything you really need to know in just seven short chapters. From stripping away the mystique from SEO and SEM, to uncovering the meaning of jargon and acronyms such as pay-per-click advertising (PPC), backlinking, social signals and algorithms, you'll discover how to structure your website to deliver what the search engines are looking for and to promote it to the world.This book distils the most practical search engine optimization (SEO) and search engine marketing (SEM) insights into easy-to-digest bite-sized chunks, giving you a basic knowledge and understanding of the key concepts, together with practical and thought-provoking exercises. Whether you choose to read it in a week or in a single sitting, SEO And Search Marketing In A Week is your fastest route to success:- Sunday: An introduction to search engines and SEO- Monday: Keyword research- Tuesday: On-page optimization- Wednesday: Off-page optimization- Thursday: Getting other traffic sources to your website- Friday: Pay-per-click traffic: making it work for you- Saturday: Monitoring and managing your progressABOUT THE SERIESIn A Week books are for managers, leaders, and business executives who want to succeed at work. From negotiating and content marketing to finance and social media, the In A Week series covers the business topics that really matter and that will help you make a difference today. Written in straightforward English, each book is structured as a seven-day course so that with just a little work each day, you will quickly master the subject. In a fast-changing world, this series enables readers not just to get up to speed, but to get ahead.
The SEO Battlefield: Winning Strategies for Search Marketing Programs
by Anne Ahola WardWelcome to the battlefield. Every day, companies ranging from startups to enterprises fight to achieve high search rankings, knowing that previous success can quickly vanish. With this practical guide, you’ll learn how to put search engine optimization (SEO) methodology into practice, including the research, data analysis, and constant experimentation required to build an SEO program specific to your organization that can help you improve search results.Running a successful SEO program requires a team with a mix of skills, including marketing, analytics, website development, and automation. Author Anne Ahola Ward walks marketers and developers through SEO essentials and provides real-world case studies of successful and not-so-successful SEO programs. You’ll quickly understand why this is both an exciting and critical time to adopt SEO in your organization.Perform keyword goals and research, and spot search trendsUnderstand the motivation and creativity of the SEO mindsetRun a campaign to generate traffic and measure the resultsUse mobile and platform-agnostic strategies for search growthDemonstrate the value of your search marketing effortsInclude web development in your SEO program—everything from quick updates to UX/UI strategyLearn the sweetest way to run and report on an search program
SEO For Dummies
by Peter KentYour fully updated guide to search engine optimization Packed with tips, tricks, and secrets, SEO For Dummies shows you how to create and maintain a website that ranks at the top of search engines and drives high-volume traffic. Using plain-English explanations and easy-to-follow instructions, this friendly guide helps you come to grips with search engine basics--what they are, which ones are important, and how to get started--and build a search-engine-friendly site. SEO is an integral part of getting a site to rank in the various search engines in order to attract potential customers. In the new edition of this bestselling guide to search engine optimization, you'll learn the ins and outs and best practices of successful SEO in order to make your website content more search-engine friendly so that it ranks higher among searches and draws the masses. Covering the latest information on pay-per-click options, using social media to boost your profile, and managing your platform and reputation to positively impact your search engine rankings, this hands-on guide is the fun and friendly place to start learning how to move your site to the top of the rankings. Develop a search strategy and use local search capabilities Build sites that increase your search visibility Analyze results with updated tracking tools Maximize content marketing strategies If you're asking yourself the essential question of "how do I get people to visit my site," you've come to the right place!
SEO For Dummies
by Peter KentUp relevance scores, improve page speed, optimize voice search questions, and more! Search Engine Optimization For Dummies shows website owners, developers, and search engine optimizers (SEOs) how to create a website that ranks at the top of search engines and has high-volume traffic, while answering the essential question of "how do I get people to visit my site?" By understanding search engine basics (what are they, which ones are important, how to get started), building a search engine-friendly site, registering your site with directories and indexes, using analysis tools to track results and link popularity to boost rankings, and advertising your site by using pay-per-click options, you can use the tricks of SEO masters to drive traffic to your site. You'll also discover how to write effective content, use social media to boost your profile, and manage your platform and reputation to positively impact your search engine rankings. Develop a search strategy and use new SERP features Maximize the effects of personalized search Analyze results with improved analytics tools Optimize voice search strategies There’s no time like the present to create a website that ranks at the top of search engines and drives traffic to your site with these tips, tricks, and secrets.
SEO Management: Methods and Techniques to Achieve Success
by Véronique DuongSearch Engine Optimization (SEO) is arguably the most significant tool that marketeers have to push online content. As the hub of the computational engineering fields, SEO encompasses technical, editorial and link-building strategies, and is an integral part of our daily lives. As important as it is ubiquitous, SEO is needed for the development of a brand's website and online reputation. When a website is live, one of its priorities is to drive organic traffic towards it, in order to attract visibility. In order to achieve such an aim, many proactive measures must be put in place, advice followed and tips implemented. There should also be an understanding of the holistic connection between a website's HTML sources, content management system and its relationship with external websites too (SEO off-site). There are many different search engines in the world and depending on the international boundary, one web browser usually dominates the landscape. Google features prominently in SEO Management, but this book also goes into detail regarding Baidu SEO (China), Yandex SEO (Russia) and Naver SEO (South Korea). There is also guidance given on how to manage a SEO project.
SEO meistern: Das ultimative Benutzerhandbuch zur Suchmaschinen-Optimierung
by Adidas WilsonWie Sie gleich erfahren werden, sind Suchmaschinen eine der wichtigsten Möglichkeiten, mit denen Internetnutzer eine Website finden können. Aus diesem Grund wird eine Website mit guten Suchmaschineneinträgen wahrscheinlich einen drastischen Anstieg des Besucheraufkommens verzeichnen. Obwohl jeder eine gute Platzierung anstrebt, gibt es leider viele Websites, die in den Ranglisten der Suchmaschinen schlecht oder gar nicht erscheinen. Das liegt daran, dass nicht bedacht wurde, wie eine Suchmaschine genau funktioniert. Die Ersteller dieser Websites vergessen, dass die Anmeldung bei Suchmaschinen nur ein Teil der Gleichung ist, wenn es darum geht, eine gute Platzierung in den Suchmaschinen für Ihre Website zu erreichen. Deshalb ist es wichtig, dass Sie Ihre Website durch Suchmaschinenoptimierung vorbereiten.
SEO Warrior: Essential Techniques for Increasing Web Visibility (Animal Guide)
by John I JerkovicHow can you make it easier for people to find your website? And how can you convert casual visitors into active users? SEO Warrior shows you how it's done through a collection of tried and true techniques, hacks, and best practices. Learn the nuts and bolts of search engine optimization (SEO) theory, the importance of keyword strategy, and how to avoid and remedy search engine traps.You'll also learn about search engine marketing (SEM) practices, such as Google AdWords, and how you can use social networking to increase your visibility. Ideal for web developers, savvy marketers, webmasters, and anyone else interested in SEO, this book serves not only as an SEO tutorial, but also as a reference for implementing effective SEO techniques.Create compelling sites with SEO that can stand the test of timeOptimize your site for Google, Yahoo!, Microsoft's Bing, as well as search engines used in different parts of the worldConduct keyword research to find the best terms to reach your audience--and the related terms they'll respond toLearn what makes search engines tick by utilizing custom scriptsAnalyze your site to see how it measures up to the competition
Separating Information Maximum Likelihood Method for High-Frequency Financial Data (SpringerBriefs in Statistics #0)
by Naoto Kunitomo Seisho Sato Daisuke KurisuThis book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new approach to financial econometrics.Considerable interest has been given to the estimation problem of integrated volatility and covariance by using high-frequency financial data. Although several new statistical estimation procedures have been proposed, each method has some desirable properties along with some shortcomings that call for improvement. For estimating integrated volatility, covariance, and the related statistics by using high-frequency financial data, the SIML method has been developed by Kunitomo and Sato to deal with possible micro-market noises.The authors show that the SIML estimator has reasonable finite sample properties as well as asymptotic properties in the standard cases. It is also shown that the SIML estimator has robust properties in the sense that it is consistent and asymptotically normal in the stable convergence sense when there are micro-market noises, micro-market (non-linear) adjustments, and round-off errors with the underlying (continuous time) stochastic process. Simulation results are reported in a systematic way as are some applications of the SIML method to the Nikkei-225 index, derived from the major stock index in Japan and the Japanese financial sector.
Separation Logic for High-level Synthesis
by Felix WintersteinThis book presents novel compiler techniques, which combine a rigorous mathematical framework, novel program analyses and digital hardware design to advance current high-level synthesis tools and extend their scope beyond the industrial 'state of the art'. Implementing computation on customised digital hardware plays an increasingly important role in the quest for energy-efficient high-performance computing. Field-programmable gate arrays (FPGAs) gain efficiency by encoding the computing task into the chip's physical circuitry and are gaining rapidly increasing importance in the processor market, especially after recent announcements of large-scale deployments in the data centre. This is driving, more than ever, the demand for higher design entry abstraction levels, such as the automatic circuit synthesis from high-level languages (high-level synthesis). The techniques in this book apply formal reasoning to high-level synthesis in the context of demonstrably practical applications.
Sequence Alignment: Methods, Models, Concepts, and Strategies
by Michael S. RosenbergThe sequencing of the human genome involved thousands of scientists but used relatively few tools. Today, obtaining sequences is simpler, but aligning the sequences--making sure that sequences from one source are properly compared to those from other sources--remains a complicated but underappreciated aspect of comparative molecular biology.
Sequence Analysis and Modern C++: The Creation of the SeqAn3 Bioinformatics Library (Computational Biology #33)
by Hannes HauswedellThis is a book about software engineering, bioinformatics, the C++ programming language and the SeqAn library. In the broadest sense, it will help the reader create better, faster and more reliable software by deepening their understanding of available tools, language features, techniques and design patterns.Every developer who previously worked with C++ will enjoy the in-depth chapter on important changes in the language from C++11 up to and including C++20. In contrast to many resources on Modern C++ that present new features only in small isolated examples, this book represents a more holistic approach: readers will understand the relevance of new features and how they interact in the context of a large software project and not just within a "toy example". Previous experience in creating software with C++ is highly recommended to fully appreciate these aspects.SeqAn3 is a new, re-designed software library. The conception and implementation process is detailed in this book, including a critical reflection on the previous versions of the library. This is particularly helpful to readers who are about to create a large software project themselves, or who are planning a major overhaul of an existing library or framework. While the focus of the book is clearly on software development and design, it also touches on various organisational and administrative aspects like licensing, dependency management and quality control.
Sequence Analysis in a Nutshell
by Darryl Leon Scott MarkelSequence Analysis in a Nutshell: A Guide to Common Tools and Databasespulls together all of the vital information about the most commonly used databases, analytical tools, and tables used in sequence analysis. The book contains details and examples of the common database formats (GenBank, EMBL, SWISS-PROT) and the GenBank/EMBL/DDBJ Feature Table Definitions. It also provides the command line syntax for popular analysis applications such as Readseq and MEME/MAST, BLAST, ClustalW, and the EMBOSS suite, as wel
Sequences and Their Applications - SETA 2014
by Kai-Uwe Schmidt Arne WinterhofThis book constitutes the refereed proceedings of the 8th International Conference on Sequences and Their Applications, SETA 2014, held in Melbourne, VIC, Australia, in November 2014. The 24 full papers presented together with 2 invited papers were carefully reviewed and selected from 36 submissions. The papers have been organized in topical sections on Boolean functions, perfect sequences, correlation of arrays, relative difference sets, aperiodic correlation, pseudorandom sequences and stream ciphers, crosscorrelation of sequences, prime numbers in sequences, OFDM and CDMA, and frequency-hopping sequences.
Sequences, Groups, and Number Theory
by Valérie Berthé Michel RigoThis collaborative book presents recent trends on the study of sequences, including combinatorics on words and symbolic dynamics, and new interdisciplinary links to group theory and number theory. Other chapters branch out from those areas into subfields of theoretical computer science, such as complexity theory and theory of automata. The book is built around four general themes: number theory and sequences, word combinatorics, normal numbers, and group theory. Those topics are rounded out by investigations into automatic and regular sequences, tilings and theory of computation, discrete dynamical systems, ergodic theory, numeration systems, automaton semigroups, and amenable groups. This volume is intended for use by graduate students or research mathematicians, as well as computer scientists who are working in automata theory and formal language theory. With its organization around unified themes, it would also be appropriate as a supplemental text for graduate level courses.