Now showing items 1-9 of 9

  • 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 ...
  • In or out? Real-time monitoring of BREXIT sentiment on Twitter 

    Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo (CEUR Workshop Proceedings, 2016-09-12)
    The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...
  • 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 ...
  • 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). ...
  • 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 ...
  • 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 ...