From Opinion Mining to Financial Argument Mining

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Publisher : Springer Nature
ISBN 13 : 9811628815
Total Pages : 102 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis From Opinion Mining to Financial Argument Mining by : Chung-Chi Chen

Download or read book From Opinion Mining to Financial Argument Mining written by Chung-Chi Chen and published by Springer Nature. This book was released on 2021 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.

Advanced Technologies, Systems, and Applications VIII

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Publisher : Springer Nature
ISBN 13 : 3031430565
Total Pages : 631 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advanced Technologies, Systems, and Applications VIII by : Naida Ademović

Download or read book Advanced Technologies, Systems, and Applications VIII written by Naida Ademović and published by Springer Nature. This book was released on 2023-10-02 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents proceedings of the 14th Days of Bosnian-Herzegovinian American Academy of Arts and Sciences held in Tuzla, BIH, June 1–4, 2023. Delve into the intellectual tapestry that emerged from this event, as we unveil our highly anticipated Conference Proceedings Book. This groundbreaking publication captures the essence of seven captivating technical sessions spanning from Civil Engineering through Power Electronics all the way to Data Sciences and Artificial Intelligence, each exploring a distinct realm of innovation and discovery. Uniting diverse disciplines, this publication catalyzes interdisciplinary collaboration, forging connections that transcend traditional boundaries. Within these pages, readers find a compendium of knowledge, insights, and research findings from leading researchers in their respective fields. The editors would like to extend special gratitude to the chairs of all symposia for their dedicated work in the production of this volume.

Opinion Mining and Sentiment Analysis

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Author :
Publisher : Now Publishers Inc
ISBN 13 : 1601981503
Total Pages : 149 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Opinion Mining and Sentiment Analysis by : Bo Pang

Download or read book Opinion Mining and Sentiment Analysis written by Bo Pang and published by Now Publishers Inc. This book was released on 2008 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.

Beyond Fintech

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Publisher : Springer Nature
ISBN 13 : 3030962172
Total Pages : 282 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Beyond Fintech by : Bernardo Nicoletti

Download or read book Beyond Fintech written by Bernardo Nicoletti and published by Springer Nature. This book was released on 2022-04-11 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprise management theories about the so-called bionic organization currently face a significant funding gap. Bionic theories have been mainly applied to enterprise lifecycle because of the presence of similarities between economic organizations and organisms. The digital transformation has offered advancements in the bionics research field which enable us to discuss bionic organizations for the first time as business realities in which humans and machines, especially robotic process automation systems and artificial intelligence tools, cooperate in executing operations. This book determines how a bionic organization can be defined and what are its fundamental elements in the case of banking. Specifically, it investigates the two pillars of bionic enterprise which are technology and humans, as well as the core objectives and outcomes. In order to provide an exhaustive overview, the book proposes a new conceptualization of the business model of a bionic organization on the basis of the Business Model Canvas framework. Ultimately, the study of bionic organizations is aimed to discover also how they evolved in the post pandemic phase as a result of the disruptive events generated by the spread of the pandemic. The research on the book has been conducted through a qualitative and descriptive methodology with the intent to build further knowledge about the topic starting from the information available in literature. To provide actual evidence of the reality of bionic financial services, the book includes case studies. The organizations observed in the study have been selected since they present some of the key traits identified by the bionic enterprise theory. The book demonstrates that bionic enterprise theory can be further enriched with the conceptualization of a bionic business model in which the paradigm of collaboration between humans and machines is a recurring element.

Transforming Health Care

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Publisher : John Wiley & Sons
ISBN 13 : 1118416783
Total Pages : 132 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Transforming Health Care by : Phil Fasano

Download or read book Transforming Health Care written by Phil Fasano and published by John Wiley & Sons. This book was released on 2013-01-29 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of healthcare technologies, and what they mean for investors and entrepreneurs The healthcare technology revolution is just around the corner. And when it arrives, it will change and enrich our lives in ways we can only begin to imagine. Doctors will perform blood pressure readings via video chat and nutritionists will analyze diet based on photos taken with cellphone cameras. Transforming Health Care combines healthcare, technology, and finance in an innovative new way that explains the future of healthcare and its effects on patient care, exploring the emergence of electronic tools that will transform the medical industry. Explaining how technology, not politics, will lead the future of the healthcare revolution, author and healthcare technology expert Phil Fasano presents real-life examples that show how the next generation of medical breakthroughs will come from the instant exchange of information across the world Explores how new technologies will radically change the future of healthcare by making it easier to share information rapidly Explains what the future of the high tech medical industry means for investors and entrepreneurs Written by a respected healthcare and health technology expert Offering an unprecedented look at how technology is transforming the healthcare industry, and what it will mean for future investors and entrepreneurs, Transforming Health Care is a remarkable insight into the next generation of health technologies.

Data Mining in Finance

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Publisher : Springer Science & Business Media
ISBN 13 : 0306470187
Total Pages : 308 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Data Mining in Finance by : Boris Kovalerchuk

Download or read book Data Mining in Finance written by Boris Kovalerchuk and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. Data Mining in Finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. This reduces the search space and speeds up the algorithms. The book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space. Data Mining in Finance contains a number of practical examples of forecasting S&P 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. This book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.

Data Preparation for Data Mining

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)

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Book Synopsis Data Preparation for Data Mining by : Dorian Pyle

Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.

Computer and Information Science 2021—Summer

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Publisher : Springer Nature
ISBN 13 : 3030794741
Total Pages : 202 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Computer and Information Science 2021—Summer by : Roger Lee

Download or read book Computer and Information Science 2021—Summer written by Roger Lee and published by Springer Nature. This book was released on 2021-06-23 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the 20th IEEE/ACIS International Summer Semi-Virtual Conference on Computer and Information Science (ICIS 2021) held on June 23–25, 2021 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 13 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

Argument Mining

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Publisher : John Wiley & Sons
ISBN 13 : 1119671167
Total Pages : 202 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Argument Mining by : Mathilde Janier

Download or read book Argument Mining written by Mathilde Janier and published by John Wiley & Sons. This book was released on 2019-10-15 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.

Protecting Individual Privacy in the Struggle Against Terrorists

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Publisher : National Academies Press
ISBN 13 : 0309124883
Total Pages : 377 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Protecting Individual Privacy in the Struggle Against Terrorists by : National Research Council

Download or read book Protecting Individual Privacy in the Struggle Against Terrorists written by National Research Council and published by National Academies Press. This book was released on 2008-10-26 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: All U.S. agencies with counterterrorism programs that collect or "mine" personal data-such as phone records or Web sites visited-should be required to evaluate the programs' effectiveness, lawfulness, and impacts on privacy. A framework is offered that agencies can use to evaluate such information-based programs, both classified and unclassified. The book urges Congress to re-examine existing privacy law to assess how privacy can be protected in current and future programs and recommends that any individuals harmed by violations of privacy be given a meaningful form of redress. Two specific technologies are examined: data mining and behavioral surveillance. Regarding data mining, the book concludes that although these methods have been useful in the private sector for spotting consumer fraud, they are less helpful for counterterrorism because so little is known about what patterns indicate terrorist activity. Regarding behavioral surveillance in a counterterrorist context, the book concludes that although research and development on certain aspects of this topic are warranted, there is no scientific consensus on whether these techniques are ready for operational use at all in counterterrorism.

Database and Expert Systems Applications

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Publisher : Springer Nature
ISBN 13 : 3031398211
Total Pages : 497 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Database and Expert Systems Applications by : Christine Strauss

Download or read book Database and Expert Systems Applications written by Christine Strauss and published by Springer Nature. This book was released on 2023-08-15 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023. The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows: Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.

The Text Mining Handbook

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Publisher : Cambridge University Press
ISBN 13 : 0521836573
Total Pages : 423 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis The Text Mining Handbook by : Ronen Feldman

Download or read book The Text Mining Handbook written by Ronen Feldman and published by Cambridge University Press. This book was released on 2007 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description

Argumentation Mining

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Publisher : Springer Nature
ISBN 13 : 303102169X
Total Pages : 175 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Argumentation Mining by : Manfred Stede

Download or read book Argumentation Mining written by Manfred Stede and published by Springer Nature. This book was released on 2022-06-01 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a--necessarily subjective--outlook for the field.

Data Mining with Rattle and R

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Publisher : Springer Science & Business Media
ISBN 13 : 144199890X
Total Pages : 374 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining with Rattle and R by : Graham Williams

Download or read book Data Mining with Rattle and R written by Graham Williams and published by Springer Science & Business Media. This book was released on 2011-08-04 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents

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Publisher : Springer
ISBN 13 : 3540444912
Total Pages : 580 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents by : Kwong S. Leung

Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents written by Kwong S. Leung and published by Springer. This book was released on 2003-07-31 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S. Leung, L.-W. Chan, and H. Meng (Eds.): IDEAL 2000, LNCS 1983, pp. 3›8, 2000. Springer-Verlag Berlin Heidelberg 2000 4 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 5 6 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 7 0.6 1.5 0.4 1 0.2 0.5 0 0 10 100 1000 10000 10 100 1000 Mutual information (bits) Mutual information (bits) 8 J. Sinkkonen and S. Kaski 20 10 0 0.1 0.3 0.5 0.7 Mutual information (mbits) Analyses on the Generalised Lotto-Type Competitive Learning Andrew Luk St B&P Neural Investments Pty Limited, Australia Abstract, In generalised lotto-type competitive learning algorithm more than one winner exist. The winners are divided into a number of tiers (or divisions), with each tier being rewarded differently. All the losers are penalised (which can be equally or differently). In order to study the various properties of the generalised lotto-type competitive learning, a set of equations, which governs its operations, is formulated. This is then used to analyse the stability and other dynamic properties of the generalised lotto-type competitive learning.

R Data Mining

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Publisher : Packt Publishing Ltd
ISBN 13 : 1787129233
Total Pages : 428 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis R Data Mining by : Andrea Cirillo

Download or read book R Data Mining written by Andrea Cirillo and published by Packt Publishing Ltd. This book was released on 2017-11-29 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective data mining models to perform regression and classification tasks. Who This Book Is For If you are a budding data scientist, or a data analyst with a basic knowledge of R, and want to get into the intricacies of data mining in a practical manner, this is the book for you. No previous experience of data mining is required. What You Will Learn Master relevant packages such as dplyr, ggplot2 and so on for data mining Learn how to effectively organize a data mining project through the CRISP-DM methodology Implement data cleaning and validation tasks to get your data ready for data mining activities Execute Exploratory Data Analysis both the numerical and the graphical way Develop simple and multiple regression models along with logistic regression Apply basic ensemble learning techniques to join together results from different data mining models Perform text mining analysis from unstructured pdf files and textual data Produce reports to effectively communicate objectives, methods, and insights of your analyses In Detail R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data. Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets. Style and approach This book takes a practical, step-by-step approach to explain the concepts of data mining. Practical use-cases involving real-world datasets are used throughout the book to clearly explain theoretical concepts.

Balancing Privacy & Security: The Privacy Implications of Government Data Mining Programs: Congressional Hearing

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Author :
Publisher : DIANE Publishing
ISBN 13 : 9781422320259
Total Pages : 178 pages
Book Rating : 4.3/5 (22 download)

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Book Synopsis Balancing Privacy & Security: The Privacy Implications of Government Data Mining Programs: Congressional Hearing by :

Download or read book Balancing Privacy & Security: The Privacy Implications of Government Data Mining Programs: Congressional Hearing written by and published by DIANE Publishing. This book was released on with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: