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Author : Roger Arthur Roach
Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (191 download)
Download or read book Focus Based Semantic Analysis written by Roger Arthur Roach and published by . This book was released on 2007 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yoshio Enomoto
Publisher :
ISBN 13 :
Total Pages : 221 pages
Book Rating : 4.:/5 (654 download)
Download or read book Relevance of Focus and Ground in Semantic Analysis written by Yoshio Enomoto and published by . This book was released on 1986 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bo Pang
Publisher : Now Publishers Inc
ISBN 13 : 1601981503
Total Pages : 149 pages
Book Rating : 4.6/5 (19 download)
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.
Author : Nitin Indurkhya
Publisher : CRC Press
ISBN 13 : 142008593X
Total Pages : 704 pages
Book Rating : 4.4/5 (2 download)
Download or read book Handbook of Natural Language Processing written by Nitin Indurkhya and published by CRC Press. This book was released on 2010-02-22 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Author : Ekkehard König
Publisher : Routledge
ISBN 13 : 1134927886
Total Pages : 244 pages
Book Rating : 4.1/5 (349 download)
Download or read book The Meaning of Focus Particles written by Ekkehard König and published by Routledge. This book was released on 2002-09-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focus particles (words such as even, only, also) play an important role in English, in various syntactic and semantic domains, but their characteristics pose numerous problems for current syntactic frameworks and semantic theories. This book presents a comprehensive analysis of the syntax, meaning and use of focus particles and related function words in English and many other languages. It also provides a historical perspective on their development.
Author : Wolfgang Minker
Publisher : Springer Science & Business Media
ISBN 13 : 1461552559
Total Pages : 228 pages
Book Rating : 4.4/5 (615 download)
Download or read book Stochastically-Based Semantic Analysis written by Wolfgang Minker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastically-Based Semantic Analysis investigates the problem of automatic natural language understanding in a spoken language dialog system. The focus is on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method. Stochastically-Based Semantic Analysis will be of most interest to researchers in artificial intelligence, especially those in natural language processing, computational linguistics, and speech recognition. It will also appeal to practicing engineers who work in the area of interactive speech systems.
Author : Kazuhiro Sakurai
Publisher :
ISBN 13 : 9781361386156
Total Pages : pages
Book Rating : 4.3/5 (861 download)
Download or read book The Syntax and Semantics of Focus written by Kazuhiro Sakurai and published by . This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "The Syntax and Semantics of Focus: Evidence From Dagaare" by Kazuhiro, Sakurai, 櫻井和裕, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: This thesis examines the conceptions of focus and information structure from syntactic and semantic perspectives using data from Dagaare, a Mabia language spoken in Ghana and neighbouring Burkina Faso (Bodomo 1997b; 2000). While focus is often analysed in terms of its prosodic and discourse features cross-linguistically, this study demonstrates how Dagaare focus particles illustrate the marking of what Lambrecht (1994) terms focus categories, viz. sentence focus, argument focus, and predicate focus. The focus particle la - a positive counterpart to the negative ba - is of particular interest in this study; I show that (i) its presence implies that Dagaare verbs lack inherent polarity, that (ii) it is the only particle which can mark all three of Lambrecht's focus categories, and that (iii) it has a special distribution based on semantic and syntactic concerns. That Dagaare focus particles mark each of these three focus categories is a catalyst for their extended integration into the syntactic and semantic analysis and representation of focus and information structure, using the lexical-functional grammar (LFG) framework (Kaplan and Bresnan 1982; Bresnan 2001; Dalrymple 2001). Within LFG, the notion of focus categories, supported by the Dagaare data, reveal that i-structure (Andreasson 2007; Dalrymple and Nikolaeva 2011) can be expanded to accommodate the inclusion of focus category-specific attributes (viz. SFOCUS, AFOCUS, and PFOCUS) which contain operator and domain features for focus particles. I then use glue semantics (LFG]glue) (Andrews 2010c; Asudeh 2012) to demonstrate the combinatorial principles of focus particles in Dagaare, ultimately showing how the meanings and domains of focus particles in each category can be conceptualised as processes of resource consumption; in addition, LFG+glue - using event semantics - provides a clear account of the lack of inherent verb polarity in Dagaare which necessitates the presence of sentence focus particles such as la. Following integration into LFG and LFG+glue, optimality theoretic (OT-) LFG (Bresnan 1998; Kuhn 2003) analysis provides a syntactic and semantic constraint set which accounts for the distribution of focus particles in Dagaare; in doing so, I also provide an updated conception of the input in OT-LFG, partially based on the idea of a split lexicon (Andrews 2005a), which allows for more adequate underspecification of input structures, including f-structure and i-structure, without losing the ability to rule out ungrammatical candidates. These analyses show that focus and information structure - and the notion of focus categories - can be easily integrated into the LFG framework and the related approaches of LFG+glue and OT-LFG. In doing so, it is hoped that this study will garner further interest in (i) the representation of focus and i-structure, (ii) the combinatorial semantics of focus particles, and (iii) further work on Mabia and other West African languages which contain such focus particles for the purpose of typological and theoretical comparison. DOI: 10.5353/th_b5317015 Subjects: Dagaare language - Sematics Dagaare language - Syntax
Author : Bing Liu
Publisher : Cambridge University Press
ISBN 13 : 1108787282
Total Pages : 451 pages
Book Rating : 4.1/5 (87 download)
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.
Author : Federico Alberto Pozzi
Publisher : Morgan Kaufmann
ISBN 13 : 0128044381
Total Pages : 286 pages
Book Rating : 4.1/5 (28 download)
Download or read book Sentiment Analysis in Social Networks written by Federico Alberto Pozzi and published by Morgan Kaufmann. This book was released on 2016-10-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network mining Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics
Author : Sam Featherston
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110623099
Total Pages : 337 pages
Book Rating : 4.1/5 (16 download)
Download or read book Experiments in Focus written by Sam Featherston and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-11-05 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents new and cutting-edge research on the question of how we parse, interpret and understand language in more complex discourse settings. The challenge is to find empirical evidence on how information structure and semantic processing are related. Comprehensible answers are provided by showing how syntax, phonology, semantics and pragmatics interact and how they influence semantic processing and interpretation. The analysis of core information structural concepts that contribute to processing such as focus and contrast, the specific discourse status of referents that add to the common ground, context dependency and markedness as well as prosodic prominence and givenness marking has added new and convincing evidence to the research of information structure and semantic processing.
Author : Bing Liu
Publisher : Springer Nature
ISBN 13 : 3031021452
Total Pages : 167 pages
Book Rating : 4.0/5 (31 download)
Download or read book Sentiment Analysis and Opinion Mining written by Bing Liu and published by Springer Nature. This book was released on 2022-05-31 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Author : Peter Bosch
Publisher : Cambridge University Press
ISBN 13 : 9780521583053
Total Pages : 390 pages
Book Rating : 4.5/5 (83 download)
Download or read book Focus written by Peter Bosch and published by Cambridge University Press. This book was released on 1999 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of papers examines the theoretical, psychological and descriptive approaches to focus.
Author : David I. Beaver
Publisher : John Wiley & Sons
ISBN 13 : 1444301330
Total Pages : 328 pages
Book Rating : 4.4/5 (443 download)
Download or read book Sense and Sensitivity written by David I. Beaver and published by John Wiley & Sons. This book was released on 2009-01-30 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sense and Sensitivity advances a novel research proposal in the nascent field of formal pragmatics, exploring in detail the semantics and pragmatics of focus in natural language discourse. The authors develop a new account of focus sensitivity, and show that what has hitherto been regarded as a uniform phenomenon in fact results from three different mechanisms. The book Makes a major contribution to ongoing research in the area of focus sensitivity – a field exploring interactions between sound and meaning, specifically the dependency some words have on the effects of focus, such as "she only LIKES me" (i.e. nothing deeper) compared to "she only likes ME" (i.e. nobody else) Discusses the features of the QFC theory (Quasi association, Free association, and Conventional association), a new account of focus implying a tripartite typology of focus-sensitive expressions Presents novel cross-linguistic data on focus and focus sensitivity that will be relevant across a range of linguistic sub-fields: semantics and pragmatics, syntax, and intonational phonology Concludes with a case study of exclusives (like “only”), arguing that the entire existing literature has missed crucial generalizations, and for the first time explaining the focus sensitivity of these expressions in terms of their meaning and discourse function
Author :
Publisher :
ISBN 13 :
Total Pages : 73 pages
Book Rating : 4.:/5 (82 download)
Download or read book Proceedings of the Workshop on the Semantic and Syntactic Analysis of Focus written by and published by . This book was released on 1993 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sébastien Harispe
Publisher : Springer Nature
ISBN 13 : 3031021568
Total Pages : 245 pages
Book Rating : 4.0/5 (31 download)
Download or read book Semantic Similarity from Natural Language and Ontology Analysis written by Sébastien Harispe and published by Springer Nature. This book was released on 2022-05-31 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning or decision processes). Central to this quest is to give machines the ability to estimate the likeness or similarity between things in the way human beings estimate the similarity between stimuli. In this context, this book focuses on semantic measures: approaches designed for comparing semantic entities such as units of language, e.g. words, sentences, or concepts and instances defined into knowledge bases. The aim of these measures is to assess the similarity or relatedness of such semantic entities by taking into account their semantics, i.e. their meaning---intuitively, the words tea and coffee, which both refer to stimulating beverage, will be estimated to be more semantically similar than the words toffee (confection) and coffee, despite that the last pair has a higher syntactic similarity. The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesauri or ontologies. Semantic measures are widely used today to compare units of language, concepts, instances or even resources indexed by them (e.g., documents, genes). They are central elements of a large variety of Natural Language Processing applications and knowledge-based treatments, and have therefore naturally been subject to intensive and interdisciplinary research efforts during last decades. Beyond a simple inventory and categorization of existing measures, the aim of this monograph is to convey novices as well as researchers of these domains toward a better understanding of semantic similarity estimation and more generally semantic measures. To this end, we propose an in-depth characterization of existing proposals by discussing their features, the assumptions on which they are based and empirical results regarding their performance in particular applications. By answering these questions and by providing a detailed discussion on the foundations of semantic measures, our aim is to give the reader key knowledge required to: (i) select the more relevant methods according to a particular usage context, (ii) understand the challenges offered to this field of study, (iii) distinguish room of improvements for state-of-the-art approaches and (iv) stimulate creativity toward the development of new approaches. In this aim, several definitions, theoretical and practical details, as well as concrete applications are presented.
Author : Dat Tan Huynh
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (944 download)
Download or read book Computation on Meanings written by Dat Tan Huynh and published by . This book was released on with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "The main focus of this research is to propose new content-based approaches for semantic interpretation of human language. By undertaking semantic analysis on large amount of unstructured text available, our proposed methods have presented new sets of features for semantic interpretation. On the one hand, multiple aspect sets of features have been proposed, which help to cover semantic meanings of words in di erent angles. On the other hands, feature transformations and combinations have been proposed to not only reduce size of feature dimensions, but also encorage the interaction between di erent aspects of word features."
Author : Soujanya Poria
Publisher : Springer
ISBN 13 : 3319950207
Total Pages : 223 pages
Book Rating : 4.3/5 (199 download)
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.
