Browsing Data Science Institute (Conference Papers) by Author "Davis, Brian"

Now showing items 1-14 of 14

    • Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study 

      Vornhagen, Heike; Zarrouk, Manel; Davis, Brian; Young, Karen (Association for Computing Machinery (ACM), 2021-06-09)
      City dashboards present information about a city to a broad audience with some thought given as to how some of these audiences might understand the information. However, little research has looked at how ’citizens’ make ...

    • FinSentiA: sentiment analysis in English financial microblogs 

      Gaillat, Thomas; Sousa, Annanda; Zarrouk, Manel; Davis, Brian (NUI Galway, 2018-05-14)
      The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the sentiment ...

    • From simplified text to knowledge representation using controlled natural language 

      Safwat, Hazem; Zarrouk, Manel; Davis, Brian (2017-04-17)
      Knowledge based systems provide means to store data and perform reasoning on top of it. Controlled Natural Language (CNL) is considered as an engineered subset of natural language. CNLs aim to abstract the complexity ...

    • Implicit and explicit aspect extraction in financial microblogs 

      Gaillat, Thomas; Stearns, Bernardo; McDermott, Ross; Sridhar, Gopal; Zarrouk, Manel; Davis, Brian (Association for Computational Linguistics, 2018-07-15)
      This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment ...

    • On developing extraction rules for mining informal scientific references from Altmetric data sources 

      Khawaja, Waqas; Taylor, Michael; Davis, Brian (Springer Verlag, 2015-06-04)
      Altmetrics measure scientific impact outside of traditional scientific literature. We identify mentions of scientific research or entities like researchers, academic or research organizations in a corpus containing blogs, ...

    • Predicting citations from mainstream news, weblogs and discussion forum 

      Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (ACM (Association for Computing Machinery), 2017-08-23)
      The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ...

    • Rewriting simplified text into a controlled natural language 

      Safwat, Hazem; Zarrouk, Manel; Davis, Brian (IOS Press, 2018-08-27)
      While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...

    • Semantically Enhanced Passage Retrieval for Business Analysis Activity 

      Thai, VinhTuan; Davis, Brian; O'Riain, Sean; O'Sullivan, David; Handschuh, Siegfried (2008)
      Business analysis activity often involves the identification and extraction of information from business reports. The unstructured content of business reports poses a challenge to current Business Intelligence technologies. ...

    • SemEval-2017 Task 5: Fine-grained sentiment analysis on financial microblogs and news 

      Cortis, Keith; Freitas, André; Daudert, Tobias; Huerlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian (Association for Computational Linguistics, 2017-08-03)
      This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour, and truth” theme. This task contains two ...

    • SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages 

      Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André (European Language Resources Association, 2018-05-07)
      This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German, French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ...

    • 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 ...

    • 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”. ...

    • 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 ...