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Sentiment Analysis in Social Networks

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analyticsTakes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network miningShows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics

Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications (Socio-Affective Computing #7)

The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining

Sentiment Analysis in the Medical Domain

Sentiment 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.

Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021 (Advances in Intelligent Systems and Computing #1408)

This 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 (In A Week)

SEO 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.

SEO For Dummies

Your 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

Your 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

Up 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 For Dummies

Up 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

Search 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 Management: Methods and Techniques to Achieve Success

Search 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.

Separated Representations and PGD-Based Model Reduction: Fundamentals and Applications (CISM International Centre for Mechanical Sciences #554)

The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space,…), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science.

Separating Information Maximum Likelihood Method for High-Frequency Financial Data (SpringerBriefs in Statistics #0)

This 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 (Springer Theses)

This 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 Analysis and Modern C++: The Creation of the SeqAn3 Bioinformatics Library (Computational Biology #33)

This 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 Primer (Uwbc Biotechnical Resource Ser.)

Covers the basic computer analyses used for new DNA sequences and attempts to provide the researcher with the necessary background in order to understand and use efficiently these programs.

Sequence Comparison: Theory and Methods (Computational Biology #7)

Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.

Sequence Data Mining (Advances in Database Systems #33)

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.

Sequence Learning: Paradigms, Algorithms, and Applications (Lecture Notes in Computer Science #1828)

Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.

Sequences: Combinatorics, Compression, Security, and Transmission

Sequences and their Applications: Proceedings of SETA ’98 (Discrete Mathematics and Theoretical Computer Science)

Sequences and their Applications: Proceedings of SETA ’01 (Discrete Mathematics and Theoretical Computer Science)

Pseudorandom sequences have widespread applications, for instance, in spread spectrum, code division multiple access, optical and ultrawide band communication systems, as well as in ranging systems global positioning systems, circuit testing and stream ciphers. Such sequences also have strong ties to error-correcting codes.This volume contains survey and research papers on sequences and their applications. It brings together leading experts from discrete mathematics, computer science and communications engineering, and helps to bridge advances in these different areas. Papers in this volume discuss the theory of sequences and their applications in cryptography, coding theory, communications systems, numerical computation and computer simulation.

Sequences and Their Applications – SETA 2006: 4th International Conference, Beijing, China, September 24-28, 2006, Proceedings (Lecture Notes in Computer Science #4086)

This book constitutes the refereed proceedings of the 4th International Conference on Sequences and Their Applications, SETA 2006. The book presents 32 revised full papers together with 4 invited lectures. The papers are organized in topical sections on linear complexity of sequences, correlation of sequences, stream ciphers and transforms, topics in complexities of sequences, multi-sequence synthesis, sequences and combinatorics, FCSR sequences, aperiodic correlation and applications, and boolean functions, and more.

Sequences and Their Applications - SETA 2004: Third International Conference, Seoul, Korea, October 24-28, 2004, Revised Selected Papers (Lecture Notes in Computer Science #3486)

This volume contains the refereed proceedings of the 3rd International Conf- ence on Sequences and Their Applications (SETA 2004), held in Seoul, Korea during October 24–28, 2004. The previous two conferences, SETA 1998 and SETA 2001, were held in Singapore and Bergen, Norway, respectively. These conferences are motivated by the many widespread applications of sequences in modern communication systems. These applications include pseudorandom sequences in spread spectrum systems, code-division multiple-access, stream ciphers in cryptography and several connections to coding theory. The Technical Program Committee of SETA 2004 received 59 submitted - pers, many more than the submissions to previous SETA conferences. The C- mittee therefore had the di?cult task of selecting the 33 papers to be presented at the Conference in addition to four invited papers. The authors of papers p- sented at the conference were invited to submit full papers that were refereed before appearing in this proceedings. These proceedings have been edited by the Co-chairs of the Technical P- gram Committee for SETA 2004: Tor Helleseth of the University of Bergen, Norway, and Dilip Sarwate of the University of Illinois at Urbana-Champaign, USA, and Technical Program Committee members Hong-Yeop Song of Yonsei University, Korea, and Kyeongcheol Yang of Pohang University of Science and Technology, Korea.

Sequences and Their Applications - SETA 2008: 5th International Conference Lexington, KY, USA, September 14-18, 2008, Proceedings (Lecture Notes in Computer Science #5203)

This book constitutes the refereed proceedings of the 5th International Conference on Sequences and Their Applications, SETA 2008, held in Lexington, KY, USA in September 2008. The 32 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on probabilistic methods and randomness properties of sequences; correlation; combinatorial and algebraic foundations; security aspects of sequences; algorithms; correlation of sequences over rings; nonlinear functions over finite fields.