Now showing items 49-68 of 471

  • A case study of collecting dynamic social data: The pro-ana twitter community 

    Wood, Ian (Australian National University, College of Engineering and Computer Science, Department of Computer Science, 2015)
    The study of social processes in on-line social media content is a relatively new and rapidly growing endeavour. Many social media platforms provide a public API (Application Programming Interface) which can be used for ...
  • Cataloguing and Linking Life Sciences LOD 

    Hasnain, Ali; Fox, Ronan; Deus, Helena F.; Decker, Stefan (2012)
    The Life Sciences Linked Open Data (LSLOD) Cloud is currently comprised of multiple datasets that add high value to biomedical research. The ability to navigate through these datasets in order to derive and discover new ...
  • Categorising the online communities of stack exchange using quantitative user behaviour features 

    Aumayr, Erik (Insight Centre for Data Analytics, NUI Galway, 2016-03-02)
    Maintaining online communities is vital in order to increase and retain their economic and social value. Before applying any performance altering strategies, it is important to determine the different types of communities, ...
  • Challenges with image event processing: Poster 

    Aslam, Asra; Hasan, Souleiman; Curry, Edward (ACM, 2017-06-19)
    There has been substantial research in the area of event processing where systems are focused on event processing of structured data. However, in the context of smart cities, signi cant number of realtime applications ...
  • Characterising and evaluating online communities from live microblogging user interactions 

    Hromic, Hugo; Hayes, Conor (NUI Galway, 2018-07-03)
    Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ...
  • Churn in Social Networks 

    Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor (Springer, 2010)
    Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...
  • Classifying sentential modality in legal language: A use case in financial regulations, acts and directives 

    O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)
    Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ...
  • CoFiF: A corpus of financial reports in French language 

    Ahmadi, Sina; Daudert, Tobias (NUI Galway, 2019-08-12)
    In an era when machine learning and artificial intelligence have huge momentum, the data demand to train and test models is steadily growing. We introduce CoFiF, the first corpus comprising company reports in the French ...
  • Collaboration on the Social Semantic Desktop 

    Groza, Tudor; Handschuh, Siegfried (2007)
    To accomplish the daily work people use several desktop applications to collaborate with co-workers. Each application is specialized on a specific domain, such as document management, email, or time planning. Although ...
  • Collaboration on the Social Semantic Desktop 

    Groza, Tudor; Handschuh, Siegfried (2007)
    To accomplish the daily work people use several desktop applications to collaborate with co-workers. Each application is specialized on a specific domain, such as document management, email, or time planning. Although the ...
  • A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources 

    Zeginis, Dimitris; Hasnain, Ali; Loutas, Nikolaos; Deus, Helena; Fox, Ronan; Tarabanisa, Konstantinos (IOS press, 2013)
                               This paper proposes a collaborative methodology for developing semantic data models. The proposed methodology for the semantic model development follows a meet-in-the-middle approach. On the ...
  • The colloquial WordNet: Extending Princeton WordNet with neologisms 

    McCrae, John P.; Wood, Ian D.; HIcks, Amanda (Springer International Publishing, 2017-05-27)
    Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We ...
  • Combining lexical and spatial knowledge to predict spatial relations between objects in images 

    Hürlimann, Manuela; Bos, Johan (ACL Anthology, 2016-08-11)
    Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial ...
  • Community topic usage in social networks 

    Wood, Ian D. (ACM, 2015-10)
    When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for ...
  • 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 ...
  • A comparison of emotion annotation schemes and a new annotated data set 

    Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (European Languages Resources Association (ELRA), 2018-05-07)
    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 more nuanced affect has received less attention, and ...
  • A comparison of statistical and neural machine translation for Slovene, Serbian and Croatian 

    Arcan, Mihael (Language Technologies and Digital Humanities 2018, 2018-09-20)
    In this paper we present a comparison of translation quality using of Statistical Machine Translation (SMT) and Neural Machine Translation (NMT), considering translation directions between English, Slovene, Serbian and ...
  • Constructing Twitter Datasets using Signals for Event Detection Evaluation 

    Hromic, Hugo; Hayes, Conor (22nd International Conference on Case-Based Reasoning, 2014-09-29)
    Twitter is a very attractive real-time platform for research on event detection. However, despite the great amount of interest, datasets suitable for evaluating such methods are not easily available. The two most important ...
  • A Content Analysis: How Wikipedia Talk Pages Are Used 

    Schneider, Jodi; Passant, Alexandre; Breslin, John G. (2010)