• On the Use of Parsing for Named Entity Recognition 

      Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021-01-25)
      [Abstract] Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities ...
    • On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Wiley, 2015-09)
      [Abstract]: Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product, ...
    • Practical NLP-Based Text Indexing 

      Vilares, Jesús; Barcala Rodríguez, Francisco Mario; Alonso, Miguel A.; Graña Gil, Jorge; Vilares Ferro, Manuel (Springer Verlag, 2002)
    • Prototipado rápido de un sistema de normalización de tuitsuna aproximación léxica 

      Vilares, Jesús; Alonso, Miguel A.; Vilares, David (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Resumen]: Este trabajo describe el sistema de normalización de tuits en español desarrollado por el Grupo de Lengua Y Sociedad de la Información (LYS) de la Universidade da Coruña para el Tweet-Norm 2013. Se trata de un ...
    • Public Sentiment Analysis and Topic Modeling Regarding COVID-19’s Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia 

      Alamoodi, A.H.; Baker, Mohammed Rashad; Albahri, O.S.; Zaidan, B.B.; Zaidan, A.A.; Wong, Wing-Kwong; Garfan, Salem; Albahri, A.S.; Alonso, Miguel A.; Jasim, Ali Najm; Baqer, M.J. (KSII, 2022-07-31)
      [Abstract] The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this ...
    • Seguimiento y análisis automático de contenidos en redes sociales 

      Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Vilares, David; Doval, Yerai; Vilares, Jesús (Centro Universitario de la Defensa de Marín, 2015)
      [Abstract]: La Minería de Opiniones es la disciplina que aborda el tratamiento automático de las opiniones contenidas en un texto. Permite, por ejemplo, determinar si en un texto se está opinando o no, o si la polaridad ...
    • Sentiment Analysis for Fake News Detection 

      Alonso, Miguel A.; Vilares, David; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021)
      [Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...
    • Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2015)
      [Abstract]: We address the problem of performing po- larity classification on Twitter over differ- ent languages, focusing on English and Spanish, comparing three techniques: (1) a monolingual model which knows ...
    • El sistema ERIAL: LEIRA, un entorno para RI basado en PLN 

      Barcala Rodríguez, Francisco Mario; Domínguez, Eva María; Alonso, Miguel A.; Cabrero, David; Graña Gil, Jorge; Vilares, Jesús; Vilares Ferro, Manuel; Rojo, Guillermo.; Santalla, María Paula; Sotelo, Susana (2002)
    • Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval 

      Vilares, Jesús; Alonso, Miguel A.; Doval, Yerai; Vilares Ferro, Manuel (2016-07)
      [Abstract] The performance of Information Retrieval systems is limited by the linguistic variation present in natural language texts. Word-level Natural Language Processing techniques have been shown to be useful in reducing ...
    • Supervised polarity classification of Spanish tweets based on linguistic knowledge 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computing Machinery, 2013)
      [Abstract]: We describe a system that classifies the polarity of Spanish tweets. We adopt a hybrid approach, which combines machine learning and linguistic knowledge acquired by means of NLP. We use part-of-speech tags, ...
    • Supervised sentiment analysis in multilingual environments 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Elsevier, 2017-05)
      [Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ...
    • The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets 

      Vilares, David; Thelwall, Mike; Alonso, Miguel A. (SAGE Publications & CILIP, 2015)
      [Abstract]: Twitter is an important platform for sharing opinions about politicians, parties and political decisions. These opinions can be exploited as a source of information to monitor the impact of politics on society. ...
    • Tokenization and proper noun recognition for information retrieval 

      Barcala Rodríguez, Francisco Mario; Vilares, Jesús; Alonso, Miguel A.; Graña Gil, Jorge; Vilares Ferro, Manuel (IEEE Computer Society Press, 2005-11-21)
      [Abstract] In this paper we consider a set of natural language processing techniques that can be used to analyze large amounts of texts, focusing on the advanced tokenizer which accounts for a number of complex linguistic ...
    • Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (2017-09-19)
      [Abstract] Dealing with negation in a proper way is a relevant factor in order to obtain high performance sentiment analysis systems. In this framework, we present a method for the treatment of negation in Spanish that ...
    • Une approche formelle pour la génération d'analyseurs de langages naturels 

      Vilares Ferro, Manuel; Valderruten Vidal, Alberto; Graña Gil, Jorge; Alonso, Miguel A. (2005-11-21)
      [Abstract] Un processus d'analyse syntaxique et d'annotation efficace est déterminante dans l'élaboration de structures d'analyse de langages naturels. Ce papier introduit un environnement de programmation permettant ...
    • Universal, unsupervised (rule-based), uncovered sentiment analysis 

      Vilares, David; Gómez-Rodríguez, Carlos; Alonso, Miguel A. (Elsevier, 2017-02)
      [Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...