Now showing items 21-30 of 30

    • Social impact assessment of scientist from mainstream news and weblogs 

      Timilsina, Mohan; Khawaja, Waqas; Davis, Brian; Taylor, Mike; Hayes, Conor (Springer Verlag, 2017-10-14)
      Research policy makers, funding agencies, universities and government organizations evaluate research output or impact based on the traditional citation count, peer review, h-index and journal impact factors. These impact ...
    • Social sentiment indices powered by X-scores 

      Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; Handschuh, Siegfried (INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)
      Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ...
    • The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs 

      Gaillat, Thomas; Zarrouk, Manel; Freitas, André; Davis, Brian (European Language Resources Association, 2018-05-07)
      This paper introduces the three SSIX corpora for sentiment analysis. These corpora address the need to provide annotated data for supervised learning methods. They focus on stock-market related messages extracted from two ...
    • Supporting sense-making experiences of city dashboards - a design solution 

      Vornhagen, Heike (NUI Galway, 2021-10-05)
      Public city dashboards are online platforms giving access to data and information about a city to users. Giving access to data must, however, include methods to enable citizens to use this data which, first and foremost, ...
    • Text analysis for automatically identifying fake news 

      Azevedo, Lucas Lourenço de Sousa (NUI Galway, 2023-10-10)
      As a consequence of the ever-growing speed and quantity of both production and con sumption of information, added to factors as news source decentralization, ‘citizen journalism’, democratization of media and astroturfing1 (Lee, ...
    • Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach 

      Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (IEEE, 2016-11-24)
      The realization that scholarly publications are discussed and have influence on discourse outside scientific and academic domains has given rise to area of scientometrics called alternative metrics or “altmetrics”. ...
    • Trust Models for Community Aware Identity Management 

      Choi, Hee Chul; Kruk, Sebastian Ryszard; Grzonkowski, Slawomir; Davis, Brian; Breslin, John (2006)
      The contemporary Web is heading towards its next stage of evolution. From a clump of unorganised information spaces, the Web is becoming more focused on the meaning of information (the Semantic Web) and on community awareness ...
    • Trust models for community aware identity management 

      Choi, Hee-Chul; Kruk, Sebastian Ryszard; Grzonkowski, S\lawomir; Grzonkowski, Slawomir; Stankiewicz, Katarzyna; Davis, Brian; Breslin, John G. (IUP Publications, 2008)
      [No abstract available]
    • A Twitter sentiment gold standard for the Brexit referendum 

      Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio (CEUR Workshop Proceedings, 2016-09-12)
      A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ...
    • WWW'18 open challenge: financial opinion mining and question answering 

      Maia, Macedo; Handschuh, Siegfried; Freitas, André; Davis, Brian; McDermott, Ross; Zarrouk, Manel; Balahur, Alexandra (Association for Computing Machinery, 2018-04-23)
      The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of many application domains which are dependent on the analysis of unstructured data at scale. The ...