Details
Name
Inês Filipa TeixeiraCluster
Networked Intelligent SystemsRole
Research AssistantSince
01st May 2018
Nationality
PortugalCentre
Telecommunications and MultimediaContacts
+351222094000
ines.f.teixeira@inesctec.pt
2022
Authors
Viana, P; Andrade, MT; Carvalho, P; Vilaca, L; Teixeira, IN; Costa, T; Jonker, P;
Publication
JOURNAL OF IMAGING
Abstract
2022
Authors
Pinto, JP; Viana, P; Teixeira, IN; Andrade, MT;
Publication
PeerJ Comput. Sci.
Abstract
The subjectiveness of multimedia content description has a strong negative impact on tag-based information retrieval. In our work, we propose enhancing available descriptions by adding semantically related tags. To cope with this objective, we use a word embedding technique based on the Word2Vec neural network parameterized and trained using a new dataset built from online newspapers. A large number of news stories was scraped and pre-processed to build a new dataset. Our target language is Portuguese, one of the most spoken languages worldwide. The results achieved significantly outperform similar existing solutions developed in the scope of different languages, including Portuguese. Contributions include also an online application and API available for external use. Although the presented work has been designed to enhance multimedia content annotation, it can be used in several other application areas. © 2022. Pinto et al. Distributed under Creative Commons CC-BY 4.0
2021
Authors
Almeida, J; Vilaca, L; Teixeira, IN; Viana, P;
Publication
APPLIED SCIENCES-BASEL
Abstract
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