Sentence Class Analysis In Newspaper Articles

Sentence Class Analysis In Newspaper Articles PDF

Author: Yusniar, S.Pd., M.S

Publisher: CV Jejak (Jejak Publisher)

Published: 2022-12-21

Total Pages: 122

ISBN-13: 6234980694

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This book is focusing on Sentence Class. The data investigated is found in the article of Jakarta Post. from text of Jakarta Post. The objective is to describe the type of sentence class. The method of conducting this research is by applying the kind of sentence class and represents of coherence in the text of sentence class so that it can give the reader more understand about the article The data is related to the sentence class. Sentence Class are classified as four types which gives the main idea and function, then categorized the functions into coherence. There were only five 6 edition of article Jakarta Post taken from different edition about politic article. The problems are focused on finding the dominant types of sentence class used in article of Jakarta Post. However the framework of this book can be described as follows: (1) To analyze the type sentence class in the text of article Jakarta Post, (2) to analyze the dominant types of sentence class in the text of article (3) to described why they are dominant in the text of article (4) to know the coherence of sentence in the article. The research findings indicate that there are four types, simple sentence 16 %, compound sentence 19%, complex sentence 32%, compound complex sentence 31 %, The dominant types of sentence class are complex sentence.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications PDF

Author: Ingela Nyström

Publisher: Springer Nature

Published: 2019-10-25

Total Pages: 800

ISBN-13: 3030339041

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This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Advances in Electrical and Computer Technologies

Advances in Electrical and Computer Technologies PDF

Author: Thangaprakash Sengodan

Publisher: Springer Nature

Published: 2021-02-26

Total Pages: 1335

ISBN-13: 9811590192

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This book comprises select proceedings of the International Conference on Advances in Electrical and Computer Technologies 2020 (ICAECT 2020). The papers presented in this book are peer-reviewed and cover latest research in electrical, electronics, communication and computer engineering. Topics covered include smart grids, soft computing techniques in power systems, smart energy management systems, power electronics, feedback control systems, biomedical engineering, geo informative systems, grid computing, data mining, image and signal processing, video processing, computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, broad band communication, mobile and optical communication, network security, VLSI, embedded systems, optical networks and wireless communication. The volume can be useful for students and researchers working in the different overlapping areas of electrical, electronics and communication engineering.

The Janus-Face of Language: Where Are the Emotions in Words and the Words in Emotions?

The Janus-Face of Language: Where Are the Emotions in Words and the Words in Emotions? PDF

Author: Cornelia Herbert

Publisher: Frontiers Media SA

Published: 2018-09-28

Total Pages: 316

ISBN-13: 2889455505

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Language has long been considered independent from emotions. In the last few years however research has accumulated empirical evidence against this theoretical belief of a purely cognitive-based foundation of language. In particular, through research on emotional word processing it has been shown, that processing of emotional words activates emotional brain structures, elicits emotional facial expressions and modulates action tendencies of approach and avoidance, probably in a similar manner as processing of non-verbal emotional stimuli does. In addition, it has been shown that emotional content is already processed in the visual cortex in a facilitated manner which suggests that processing of emotional language content is able to circumvent in-depth semantic analysis. Yet, this is only one side of the coin. Very recent research putting words into context suggests that language may also construe emotions and that by studying word processing one can provide a window to one’s own feelings. All in all, the empirical observations support the thesis of a close relationship between language and emotions at the level of word meaning as a specific evolutionary achievement of the human species. As such, this relationship seems to be different from the one between emotions and speech, where emotional meaning is conveyed by nonverbal features of the voice. But what does this relationship between written words and emotions theoretically imply for the processing of emotional information? The present Research Topic and its related articles aim to provide answers to this question. This book comprises several experimental studies investigating the brain structures and the time course of emotional word processing. Included are studies examining the affective core dimensions underlying affective word processing and studies that show how these basic affective dimensions influence word processing in general as well as the interaction between words, feelings and (expressive) behavior. In addition, new impetus comes from studies that on the one hand investigate how task-, sublexical and intrapersonal factors influence emotional word processing and on the other hand extend emotional word processing to the domains of social context and self-related processing. Finally, future perspectives are outlined including research on emotion and language acquisition, culture and multilingualism. In summary, this textbook offers scientists from different disciplines insight into the neurophysiological, behavioral and subjective mechanisms underlying emotion and language interactions. It gives new impulses to existing theories on the embodiment of language and emotion and provides new ways of looking at emotion-cognition interactions.

Handbook of Data Analysis

Handbook of Data Analysis PDF

Author: Melissa A Hardy

Publisher: SAGE

Published: 2009-06-17

Total Pages: 728

ISBN-13: 1446203441

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Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence PDF

Author: Marzena Kryszkiewicz

Publisher: Springer

Published: 2015-06-22

Total Pages: 588

ISBN-13: 3319199412

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This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.

Intelligent Systems Design and Applications

Intelligent Systems Design and Applications PDF

Author: Ajith Abraham

Publisher: Springer Nature

Published: 2022-03-26

Total Pages: 1461

ISBN-13: 303096308X

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This book highlights recent research on intelligent systems and nature-inspired computing. It presents 132 selected papers from the 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 34 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Computational Science and Technology

Computational Science and Technology PDF

Author: Rayner Alfred

Publisher: Springer Nature

Published: 2019-08-29

Total Pages: 725

ISBN-13: 9811500584

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This book gathers the proceedings of the Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), held in Kota Kinabalu, Malaysia, on 29–30 August 2019. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.