Search results for "text processing"

showing 10 items of 35 documents

Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

2019

International audience

Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencestext miningBibliometrics050905 science studiescomputer.software_genrescientific papersscientometrics[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Bibliography. Library science. Information resourcescomputational linguistics[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesnatural language processing[SHS.LANGUE]Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUScitation content analysisbusiness.industry05 social sciencesScientometrics[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Artificial intelligence0509 other social sciencesComputational linguistics050904 information & library sciencesbusinesscomputerNatural language processingZ
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Auditory temporal processing in schizophrenia: high level rather than low level deficits?

2006

INTRODUCTION: Patients with schizophrenia demonstrate a wide range of information processing deficits. Most recent studies argue in favour of high level deficits, including attention and context processing, whereas fewer studies have demonstrated deficits at earlier stages of processing, such as perceptual discrimination and organisation. This is the first study to investigate both high and low level processing, within a single paradigm, in the case of auditory temporal processing in schizophrenia. METHODS: Patients with schizophrenia were compared to controls on a series of tasks involving three auditory temporal processes varying from low to higher level: (1) segregation of a complex sequ…

PsychosisContext processingCognitive NeuroscienceSchizophrenia (object-oriented programming)Cognitive disorderInformation processingTime perceptionmedicine.diseasePsychiatry and Mental healthPerceptual discriminationmedicineLevels-of-processing effectPsychologyCognitive psychologyCognitive neuropsychiatry
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Advanced Topics in Intelligent Information and Database Systems

2017

This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to Data Mining.• Part II. Big Data and Collaborative Decision Support Systems,• Part III. Computer Vision Analysis, Detection, Tracking and Recognition,• Part IV. Data-Intensive Text P…

Decision support systemDatabaseComputer sciencebusiness.industryBig dataComputational intelligencecomputer.software_genreData scienceResource (project management)Text processingDecision managementCollaborationThe Internetbusinesscomputer
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Are they different? affect, feeling, emotion, sentiment, and opinion detection in text

2014

A major limitation in the automatic detection of affect, feelings, emotions, sentiments, and opinions in text is the lack of proper differentiation between these subjective terms and understanding of how they relate to one another. This lack of differentiation not only leads to inconsistency in terminology usage but also makes the subtleties and nuances expressed by the five terms difficult to understand, resulting in subpar detection of the terms in text. In light of such limitation, this paper clarifies the differences between these five subjective terms and reveals significant concepts to the computational linguistics community for their effective detection and processing in text.

ta113ta520business.industrymedia_common.quotation_subjectAffect (psychology)Electronic mailTerminologyHuman-Computer InteractionText miningText processingFeelingCultural diversityComputational linguisticsPsychologybusinessSocial psychologySoftwaremedia_commonCognitive psychologyIEEE transactions on affective computing
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Semantic HMC for Big Data Analysis

2014

International audience; Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.

FOS: Computer and information sciences[ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processingmulti-classifyComputer scienceComputer Science - Artificial IntelligenceBig data[ INFO.INFO-WB ] Computer Science [cs]/Websemantic technologies02 engineering and technologyOntology (information science)Semantic data model[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Semantic similarity020204 information systemsSemantic computing0202 electrical engineering electronic engineering information engineeringontologyInformation retrievalOntology learningbusiness.industryOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebBig-Data[INFO.INFO-TT]Computer Science [cs]/Document and Text ProcessingArtificial Intelligence (cs.AI)machine learningOntologySemantic technologyIndex Terms—classification020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]business
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Intégrer des informations en escamots dans les textes techniques : quels effets sur les processus cognitifs ?

1998

Though computerized sytems now offer a wide range of options for accessing and displaying text or text-picture information, little is known about their effects on the user's cognitive processes. In this paper, we investigate the effect of a computer-specific display (pop-up window) which consists in displaying some pieces of information in windows that appear only under user's action. Experiments were carried out to compare the pop-up window device with other devices used on paper. The experiments dealt with text only as well as text-picture documents and involved various tasks. Results are discussed from a theoretical and a practical point of view.

présentation des informationstraitement cognitif du texte[SHS.INFO]Humanities and Social Sciences/Library and information scienceshyperlink[SCCO.COMP]Cognitive science/Computer scienceelectronic documents[SHS.INFO] Humanities and Social Sciences/Library and information sciencesdocument électroniquehyperlien[SCCO.COMP] Cognitive science/Computer sciencedigital documentsprocessus cognitifs[ SCCO.COMP ] Cognitive science/Computer sciencedocument numérique[ SHS.INFO ] Humanities and Social Sciences/Library and information sciencesescamotinformation displaytext processingtext-picture interactionpop-up windowcognitive processesinteraction texte-figure
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Système de recommandation sémantique de news économiques pour la veille

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Reading comprehension: think and know verbs.

2004

Verbs such as think, know, remember, and guess play a pivotal role in understanding, monitoring, and transformation of internal states. We focus on the specific words as think and know, polysemous cognitive verbs that show hierarchical organization and high frequency of use in children's and adults' lexicons. According to Booth and Hall's model, think and know present a conceptual organization that involves low conceptual levels (perception, memory, comprehension) and high conceptual levels (evaluation, metacognition, planning). The aim of this research was to study the relationship between children's comprehension of text processing and the conceptual levels of the above-described verbs. …

MaleAdolescentmedia_common.quotation_subjectMetacognition050105 experimental psychologyThinkingCognitionText processingPerceptionHierarchical organizationHumans0501 psychology and cognitive sciencesChildGeneral Psychologymedia_commonLanguageCommunicationbusiness.industry05 social sciencesCognitionLinguisticsLinguistic competenceSemanticsComprehensionReading comprehensionReadingFemalePsychologybusiness050104 developmental & child psychologyCognitive psychologyPsychological reports
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Interview with Charles Bigelow

2018

Charles Bigelows career parallels the development of digital font technology. He has designed fonts and consulted about font technology to many of the companies that created desktop publishing systems. He has also written extensively on digital font technology and taught at RISD, Stanford, and RIT.

EngineeringComputingMilieux_THECOMPUTINGPROFESSIONGeneral Computer Sciencebusiness.industry05 social sciences050905 science studiescomputer.software_genreDesktop publishingVisual artsText processingHistory and Philosophy of ScienceFontComputingMilieux_COMPUTERSANDEDUCATION0509 other social sciencesbusinesscomputerParallelsIEEE Annals of the History of Computing
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Continuum : un modèle spatio-temporel et sémantique pour la découverte de phénomènes dynamiques au sein d’environnements géospatiaux

2015

There is a need for decision-makers to be provided with both an overview of existing knowledge, and information which is as complete and up-to-date as possible on changes in certain features of the biosphere. Another objective is to bring together all the many attempts which have been made over the years at various levels (international, Community, national and regional) to obtain more information on the environment and the way it is changing. As a result, remote sensing tools monitor large amount of land cover informations enabling study of dynamic processes. However the size of the dataset require new tools to identify pattern and extract knowledge. We propose a model to discover knowledg…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processing[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT] Computer Science [cs]/Document and Text Processingdynamiques spatio-temporelles[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text Processingmodélisation et raisonnement spatial qualitatif[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Système d’Information Géographique[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]système d’aide à la décisionanalyse géospatiale[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ontologie
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