Multilingual Text Analysis: Challenges, Models, And Approaches

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Publisher : World Scientific
ISBN 13 : 9813274891
Total Pages : 500 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Multilingual Text Analysis: Challenges, Models, And Approaches by : Marina Litvak

Download or read book Multilingual Text Analysis: Challenges, Models, And Approaches written by Marina Litvak and published by World Scientific. This book was released on 2019-02-27 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multilingual Text Analysis

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Publisher : World Scientific Publishing Company
ISBN 13 : 9789813274877
Total Pages : 0 pages
Book Rating : 4.2/5 (748 download)

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Book Synopsis Multilingual Text Analysis by : Marina Litvak

Download or read book Multilingual Text Analysis written by Marina Litvak and published by World Scientific Publishing Company. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploring Translation and Multilingual Text Production

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Publisher : Walter de Gruyter
ISBN 13 : 3110866196
Total Pages : 344 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Exploring Translation and Multilingual Text Production by : Erich Steiner

Download or read book Exploring Translation and Multilingual Text Production written by Erich Steiner and published by Walter de Gruyter. This book was released on 2013-02-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series serves to propagate investigations into language usage, especially with respect to computational support. This includes all forms of text handling activity, not only interlingual translations, but also conversions carried out in response to different communicative tasks. Among the major topics are problems of text transfer and the interplay between human and machine activities.

Deep Learning-Based Approaches for Sentiment Analysis

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Author :
Publisher : Springer Nature
ISBN 13 : 9811512167
Total Pages : 326 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning-Based Approaches for Sentiment Analysis by : Basant Agarwal

Download or read book Deep Learning-Based Approaches for Sentiment Analysis written by Basant Agarwal and published by Springer Nature. This book was released on 2020-01-24 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

2020 9th International Congress on Advanced Applied Informatics (IIAI AAI)

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Publisher :
ISBN 13 : 9781728173986
Total Pages : pages
Book Rating : 4.1/5 (739 download)

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Book Synopsis 2020 9th International Congress on Advanced Applied Informatics (IIAI AAI) by : IEEE Staff

Download or read book 2020 9th International Congress on Advanced Applied Informatics (IIAI AAI) written by IEEE Staff and published by . This book was released on 2020-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: IIAI AAI 2020 focuses on theory, applications and tools of computer and information science, and discuss the practical challenges encountered and the solutions adopted Referring FOI list, these areas are covered in the congress Computers and information processing Professional communication Education Computational and artificial intelligence Communications technology Engineering management Information and communication technology

Text Analytics

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Publisher : Springer Nature
ISBN 13 : 3030526801
Total Pages : 298 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Text Analytics by : Domenica Fioredistella Iezzi

Download or read book Text Analytics written by Domenica Fioredistella Iezzi and published by Springer Nature. This book was released on 2020-11-24 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural Language Processing and Text Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 1846287545
Total Pages : 272 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Natural Language Processing and Text Mining by : Anne Kao

Download or read book Natural Language Processing and Text Mining written by Anne Kao and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Text Analysis in Translation

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Publisher : BRILL
ISBN 13 : 900450091X
Total Pages : 284 pages
Book Rating : 4.0/5 (45 download)

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Book Synopsis Text Analysis in Translation by : Christiane Nord

Download or read book Text Analysis in Translation written by Christiane Nord and published by BRILL. This book was released on 2006-01-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Analysis in Translation has become a classic in Translation Studies. Based on a functional approach to translation and endebted to pragmatic text linguistics, it suggests a model for translation-oriented source-text analysis applicable to all text types and genres independent of the language and culture pairs involved. Part 1 of the study presents the theoretical framework on which the model is based, and surveys the various concepts of translation theory and text linguistics. Part 2 describes the role and scope of source-text analysis in the translation process and explains why the model is relevant to translation. Part 3 presents a detailed study of the extratextual and intratextual factors and their interaction in the text, using numerous examples from all areas of professional translation. Part 4 discusses the applications of the model to translator training, placing particular emphasis on the selection of material for translation classes, grading the difficulty of translation tasks, and translation quality assessment. The book concludes with the practical analysis of a number of texts and their translations, taking into account various text types and several languages (German, English, Spanish, French, Italian, Portuguese, and Dutch).

Rethinking the Education of Multilingual Learners

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Publisher : Multilingual Matters
ISBN 13 : 1800413602
Total Pages : 603 pages
Book Rating : 4.8/5 (4 download)

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Book Synopsis Rethinking the Education of Multilingual Learners by : Jim Cummins

Download or read book Rethinking the Education of Multilingual Learners written by Jim Cummins and published by Multilingual Matters. This book was released on 2021-09-06 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 40 years, Jim Cummins has proposed a number of highly influential theoretical concepts, including the threshold and interdependence hypotheses and the distinction between conversational fluency and academic language proficiency. In this book, he provides a personal account of how these ideas developed and he examines the credibility of critiques they have generated, using the criteria of empirical adequacy, logical coherence, and consequential validity. These criteria of theoretical legitimacy are also applied to the evaluation of two different versions of translanguaging theory – Unitary Translanguaging Theory and Crosslinguistic Translanguaging Theory – in a way that significantly clarifies this controversial concept.

Empirical modelling of translation and interpreting

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Publisher : Language Science Press
ISBN 13 : 3961100241
Total Pages : 522 pages
Book Rating : 4.9/5 (611 download)

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Book Synopsis Empirical modelling of translation and interpreting by : Hansen-Schirra, Silvia

Download or read book Empirical modelling of translation and interpreting written by Hansen-Schirra, Silvia and published by Language Science Press. This book was released on 2017 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical research is carried out in a cyclic way: approaching a research area bottom-up, data lead to interpretations and ideally to the abstraction of laws, on the basis of which a theory can be derived. Deductive research is based on a theory, on the basis of which hypotheses can be formulated and tested against the background of empirical data. Looking at the state-of-the-art in translation studies, either theories as well as models are designed or empirical data are collected and interpreted. However, the final step is still lacking: so far, empirical data has not lead to the formulation of theories or models, whereas existing theories and models have not yet been comprehensively tested with empirical methods. This publication addresses these issues from several perspectives: multi-method product- as well as process-based research may gain insights into translation as well as interpreting phenomena. These phenomena may include cognitive and organizational processes, procedures and strategies, competence and performance, translation properties and universals, etc. Empirical findings about the deeper structures of translation and interpreting will reduce the gap between translation and interpreting practice and model and theory building. Furthermore, the availability of more large-scale empirical testing triggers the development of models and theories concerning translation and interpreting phenomena and behavior based on quantifiable, replicable and transparent data.

Linguistic Inquiry and Word Count

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Publisher : Lawrence Erlbaum Assoc Incorporated
ISBN 13 : 9781563212031
Total Pages : pages
Book Rating : 4.2/5 (12 download)

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Book Synopsis Linguistic Inquiry and Word Count by : James W. Pennebaker

Download or read book Linguistic Inquiry and Word Count written by James W. Pennebaker and published by Lawrence Erlbaum Assoc Incorporated. This book was released on 1999-04-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Language, whether spoken or written, is an important window into people's emotional and cognitive worlds. Text analysis of these narratives, focusing on specific words or classes of words, has been used in numerous research studies including studies of emotional, cognitive, structural, and process components of individuals' verbal and written language. It was in this research context that the LIWC program was developed. The program analyzes text files on a word-by-word basis, calculating percentage words that match each of several language dimensions. Its output is a text file that can be opened in any of a variety of applications, including word processors and spreadsheet programs. The program has 68 pre-set dimensions (output variables) including linguistic dimensions, word categories tapping psychological constructs, and personal concern categories, and can accommodate user-defined dimensions as well. Easy to install and use, this software offers researchers in social, personality, clinical, and applied psychology a valuable tool for quantifying the rich but often slippery data provided in the form of personal narratives. The software comes complete on one 31/2 diskette and runs on any Windows-based computer.

Sentiment Analysis

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Publisher : Cambridge University Press
ISBN 13 : 1316298329
Total Pages : 385 pages
Book Rating : 4.3/5 (162 download)

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Book Synopsis Sentiment Analysis by : Bing Liu

Download or read book Sentiment Analysis written by Bing Liu and published by Cambridge University Press. This book was released on 2015-06-04 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.

Sentiment Analysis

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Publisher : Cambridge University Press
ISBN 13 : 1108787282
Total Pages : 451 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Sentiment Analysis by : Bing Liu

Download or read book Sentiment Analysis written by Bing Liu and published by Cambridge University Press. This book was released on 2020-10-15 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment 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.

A Practical Guide to Sentiment Analysis

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Publisher : Springer
ISBN 13 : 3319553941
Total Pages : 199 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis A Practical Guide to Sentiment Analysis by : Erik Cambria

Download or read book A Practical Guide to Sentiment Analysis written by Erik Cambria and published by Springer. This book was released on 2017-04-07 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society, business and future researches as well.

Parallel Text Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792365464
Total Pages : 442 pages
Book Rating : 4.3/5 (654 download)

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Book Synopsis Parallel Text Processing by : Jean Véronis

Download or read book Parallel Text Processing written by Jean Véronis and published by Springer Science & Business Media. This book was released on 2000-09-30 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rising importance of multilingualism in language industries, brought about by global markets and world-wide information exchange, parallel corpora, i.e. corpora of texts accompanied by their translation, have become key resources in the development of natural language processing tools. The applications based upon parallel corpora are numerous and growing in number: multilingual lexicography and terminology, machine and human translation, cross-language information retrieval, language learning, etc. The book's chapters have been commissioned from major figures in the field of parallel corpus building and exploitation, with the aim of showing the state of the art in parallel text alignment and use ten to fifteen years after the first parallel-text alignment techniques were developed. Within the book, the following broad themes are addressed: (i) techniques for the alignment of parallel texts at various levels such as sentence, clause, and word; (ii) the use of parallel texts in fields as diverse as translation, lexicography, and information retrieval; (iii) available corpus resources and the evaluation of alignment methods. The book will be of interest to researchers and advanced students of computational linguistics, terminology, lexicography and translation, both in academia and industry.

Multimodal Sentiment Analysis

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Publisher : Springer
ISBN 13 : 3319950207
Total Pages : 223 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria

Download or read book Multimodal Sentiment Analysis written by Soujanya Poria and published by Springer. This book was released on 2018-10-24 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.

Text Mining

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Publisher : John Wiley & Sons
ISBN 13 : 9780470689653
Total Pages : 222 pages
Book Rating : 4.6/5 (896 download)

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Book Synopsis Text Mining by : Michael W. Berry

Download or read book Text Mining written by Michael W. Berry and published by John Wiley & Sons. This book was released on 2010-02-25 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.” This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. Presents a survey of text visualization techniques and looks at the multilingual text classification problem. Discusses the issue of cybercrime associated with chatrooms. Features advances in visual analytics and machine learning along with illustrative examples. Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.