Multilingual Text Analysis: Challenges, Models, And Approaches
Multilingual Text Analysis: Challenges, Models, And Approaches

Author: Marina Litvak

Publisher: World Scientific

Published: 2019-02-27

Total Pages: 500

ISBN-13: 9813274891

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Text analytics (TA) covers a very wide research area. Its overarching goal is to discover and present knowledge — facts, rules, and relationships — that is otherwise hidden in the textual content. The authors of this book guide us in a quest to attain this knowledge automatically, by applying various machine learning techniques.This book describes recent development in multilingual text analysis. It covers several specific examples of practical TA applications, including their problem statements, theoretical background, and implementation of the proposed solution. The reader can see which preprocessing techniques and text representation models were used, how the evaluation process was designed and implemented, and how these approaches can be adapted to multilingual domains.

Literary Translation in Periodicals
Literary Translation in Periodicals

Author: Laura Fólica

Publisher: John Benjamins Publishing Company

Published: 2020-12-10

Total Pages: 411

ISBN-13: 9027260591

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While translation history, literary translation, and periodical publications have been extensively analyzed within the fields of Translation Studies, Comparative Literature, and Communication Sciences, the relationship between these three topics remains underexplored. Literary Translation in Periodicals argues that there is a pressing need for an analytical focus on translation in periodicals, a collaborative network of researchers, and a transnational and interdisciplinary approach. The book pursues two goals: (1) to highlight the innovative theoretical and methodological issues intrinsic to analyzing literary translation in periodical publications on a small and large scale, and (2) to contribute to a developing field by providing several case studies on translation in periodicals over a wide range of areas and periods (Europe, Latin America, and Asia in the 19th and 20th centuries) that go beyond the more traditional focus on national and European periodicals and translations. Combining qualitative and quantitative methods of analysis, as well as hermeneutical and sociological approaches, this book reviews conceptual and methodological tools and proposes innovative techniques, such as social network analysis, big data, and large-scale analysis, for tracing the history and evolution of literary translation in periodical publications.

Text Analytics
Text Analytics

Author: Domenica Fioredistella Iezzi

Publisher: Springer Nature

Published: 2020-11-24

Total Pages: 298

ISBN-13: 3030526801

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Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.

Diversity, Divergence, Dialogue
Diversity, Divergence, Dialogue

Author: Katharina Toeppe

Publisher: Springer Nature

Published: 2021-03-19

Total Pages: 662

ISBN-13: 3030712923

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This two-volume set LNCS 12645-12646 constitutes the refereed proceedings of the 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021, held in Beijing, China, in March 2021. The 32 full papers and the 59 short papers presented in this volume were carefully reviewed and selected from 225 submissions. They cover topics such as: AI and machine learning; data science; human-computer interaction; social media; digital humanities; education and information literacy; information behavior; information governance and ethics; archives and records; research methods; and institutional management.

Computational Linguistics and Intelligent Text Processing
Computational Linguistics and Intelligent Text Processing

Author: Alexander Gelbukh

Publisher: Springer Nature

Published: 2023-02-25

Total Pages: 683

ISBN-13: 3031243404

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The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019. The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers. The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining.

Handbook of Research Methods in International Relations
Handbook of Research Methods in International Relations

Author: Huddleston, R. J.

Publisher: Edward Elgar Publishing

Published: 2022-08-05

Total Pages: 801

ISBN-13: 1839101016

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Drawing together international experts on research methods in International Relations (IR), this Handbook answers the complex practical questions for those approaching a new research topic for the first time. Innovative in its approach, it considers the art of IR research as well as the science, offering diverse perspectives on current research methods and emerging developments in the field.

Linguistics
Linguistics

Author: Ron Legarski

Publisher: SolveForce

Published: 2024-08-27

Total Pages: 2203

ISBN-13:

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Linguistics: The Study of Language is an insightful exploration into the world of language and its intricate structure. This book offers a comprehensive guide through the various branches of linguistics, providing readers with an in-depth understanding of how language is formed, used, and evolves over time. From the basics of phonetics and phonology to the complexities of syntax and semantics, this book covers every aspect of language study. It delves into the cognitive processes behind language acquisition, the social factors influencing language use, and the neural mechanisms that enable language processing in the brain. Each chapter is meticulously structured to guide the reader through the foundational concepts and advanced topics, making it an essential resource for both beginners and seasoned linguists. The book also touches on the practical applications of linguistics in the real world, including language teaching, translation, computational linguistics, and forensic analysis. By examining the role of language in society and the impact of technology on communication, this book equips readers with the knowledge to understand the ever-evolving nature of human language. Whether you’re a student of linguistics, a language enthusiast, or someone interested in understanding the nuances of human communication, Linguistics: The Study of Language provides a clear and engaging overview of one of humanity’s most fundamental tools.

Big Data Analytics Techniques for Market Intelligence
Big Data Analytics Techniques for Market Intelligence

Author: Darwish, Dina

Publisher: IGI Global

Published: 2024-01-04

Total Pages: 536

ISBN-13:

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The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

Author: D. Jude Hemanth

Publisher: Elsevier

Published: 2024-01-19

Total Pages: 296

ISBN-13: 0443220107

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Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology.Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. - Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis - Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems - Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm