• Login
    ARAN - Access to Research at NUI Galway
    Search 
    •   ARAN Home
    • Research Institutes and Centres
    • Data Science Institute
    • Data Science Institute (Scholarly Articles)
    • Search
    •   ARAN Home
    • Research Institutes and Centres
    • Data Science Institute
    • Data Science Institute (Scholarly Articles)
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ARANCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypesThis CollectionBy Issue DateAuthorsTitlesSubjectsTypes

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Help

    How to submit and FAQs

    Discover

    Author
    Buitelaar, Paul (5)
    Andryushechkin, Vladimir (2)Bordea, Georgeta (2)McCrae, John P. (2)Robin, Cécile (2)... View MoreSubjectAffective computing (1)Affective-computing (1)Annotation (1)Annotator-agreement (1)Audio processing (1)... View MoreDate Issued2019 (1)2018 (2)2016 (1)2012 (1)TypeArticle (4)Conference Paper (1)

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-5 of 5

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    Semantic representation and enrichment of information retrieval experimental data 

    Bordea, Georgeta; Buitelaar, Paul (Springer Berlin Heidelberg, 2016-05-28)
    Experimental evaluation carried out in international large-scale campaigns is a fundamental pillar of the scientific and technological advancement of information retrieval (IR) systems. Such evaluation activities produce ...
    Thumbnail

    A comparison of emotion annotation approaches for text 

    Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (MDPI, 2018-05-11)
    While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there ...
    Thumbnail

    Semi-Supervised Technical Term Tagging With Minimal User Feedback 

    Buitelaar, Paul; Bordea, Georgeta; QasemiZadeh, Behrang (2012)
    In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ...
    Thumbnail

    MixedEmotions: An open-source toolbox for multi-modal emotion analysis 

    Buitelaar, Paul; Wood, Ian D.; Negi, Sapna; Arcan, Mihael; McCrae, John P.; Abele, Andrejs; Robin, Cécile; Andryushechkin, Vladimir; Ziad, Housam; Sagha, Hesam; Schmitt, Maximilian; Schuller, Björn W.; Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Navarro, Carlos; Giefer, Andreas; Heise, Nicolaus; Masucci, Vincenzo; Danza, Francesco A.; Caterino, Ciro; Smrž, Pavel; Hradiš, Michal; Povolný, Filip; Klimeš, Marek; Matějka, Pavel; Tummarello, Giovanni (IEEE, 2018-01-25)
    Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...
    Thumbnail

    A decade of Semantic Web research through the lenses of a mixed methods approach 

    Kirrane, Sabrina; Sabou, Marta; Fernandez, Javier D.; Osborne, Francesco; Robin, Cécile; Buitelaar, Paul; Motta, Enrico; Polleres, Axel (IOS Press, 2019-06-20)
    The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...
    • Copyright @ NUI Galway 2016
    • Library
    • NUI Galway