New Frontiers In Textual Data Analysis

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New Frontiers in Textual Data Analysis

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public health which apply textual data analysis methods. The refereed contributions were originally presented at the 16th International Conference on Statistical Analysis of Textual Data (JADT 2022), which took place in Naples, Italy, on July 6-8, 2022. The biennial JADT meeting discusses theories, problems, and practical uses of textual data analysis in various fields, sharing a quantitative approach to the study of lexical, textual, pragmatic or discursive features of information expressed in natural language.
Predictive Analytics

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection
Handbook of Blockchain, Digital Finance, and Inclusion, Volume 3

Author: David Lee Kuo Chuen
language: en
Publisher: Academic Press
Release Date: 2025-04-25
Handbook of Blockchain, Digital Finance, and Inclusion, Volume Three: Web3, AI, Privacy and Greentech presents the latest technological developments and innovations occurring in cryptocurrency. The book explores the hottest topics in this fast-moving area, emphasizing the financial opportunities made possible by cryptocurrencies, such as DePIN and decentralized finance while also presenting the theories and advances that have the potential to create additional opportunities in the convergence of blockchain with AI and privacy technology. Users will find this to be an important resource that bridges the gap between practical usability and academic perspective.This new volume continues the tradition of the first two, focusing on the latest trends, including Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, digitalization, and more. It will serve as a valuable reference to an international audience that wants to learn not only about their own fields of specialization but also related fields. - Explains the practical consequences of these technologies and their economics to a broad spectrum of readers - Encompasses Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, and digitalization - Provides sophisticated, in-depth summaries - Explains how blockchain technology provides greater efficiency and reduced cost for financial services