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Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus
This paper summarizes the approaches and the results of the submitted systems of the different groups for each task in the TASS workshop, and proposes a new approach to sentiment analysis at tweet level.
Overview of TASS 2018: Opinions, Health and Emotions
- Eugenio Martínez-Cámara, Yudivián Almeida-Cruz, Julio Villena-Román
- Political ScienceTASS@SEPLN
- 1 September 2018
This work has been partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER), the projects REDES (TIN2015-65136-C2-1-R, TIN2015-65136-C2-2-R) and SMART-DASCI…
Participación de SINAI en TASS 2016
The polarity classification system used by the SINAI team for the task 1 at the TASS 2016 workshop is introduced, based on a supervised learning algorithm over vectors resulting from a weighted vector.
Participación de SINAI DW2Vec en TASS 2015
This paper introduces the polarity classification system used by the SINAI-DW2Vec team for the task 1 at the TASS 2015 workshop, based on a supervised learning algorithm over vectors resulting from concatenating two different weighted vectors.
SINAI at ImageCLEF 2007
- Manuel Carlos Díaz-Galiano, Miguel Ángel García Cumbreras, M. T. Martín-Valdivia, Arturo Montejo Ráez, L. A. U. López
- Computer ScienceCLEF
The SINAI research group has participated in both the ad hoc task and the medical task in the ImageCLEF campaign and has used the MeSH ontology to expand the queries.
Expanding Terms with Medical Ontologies to Improve a Multi-Label Text Categorization System
- M. T. M. Valdivia, Arturo Montejo Ráez, Manuel Carlos Díaz-Galiano, José Manuel Perea Ortega, L. A. U. López
- Computer ScienceInformation Retrieval in Biomedicine
aBstRact This chapter argues for the integration of clinical knowledge extracted from medical ontologies in order to improve a Multi-Label Text Categorization (MLTC) system for medical domain. The…
SINAI at ImagePhoto 2009
- Miguel Ángel García Cumbreras, Manuel Carlos Díaz-Galiano, Arturo Montejo Ráez, M. T. Martín-Valdivia
- Computer ScienceCLEF
This paper presents the fourth participation of the SINAI group, University of Jaen, in the Photo Retrieval task at Image CLEF 2009 and shows that the combination between the title of each query and the other titles of the clusters obtain the best performance and that the clustering system did not work well.