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A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification
(Association for Computing Machinery - ACMDongguk UniversityGyeongju, 2014-03)
A bipartite heterogeneous network is one of the simplest ways to represent a textual document collection. In such case, the network consists of two types of vertices, representing documents and terms, and links connecting ...
Representação multimodal para classificação de informação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2018-06-08)
The most basic meaning of "multimodality" is the use of multiple means of information to compose an "artifact", a man-made object that expresses a concept. In our day-to-day life, most media outlets use multimedia to express ...
Data efficient deep learning models for text classification
(Udelar. FI., 2020)
Text classification is one of the most important techniques within natural language processing. Applications range from topic detection and intent identification to sentiment analysis. Usually text classification is ...
An Investigation Into Different Text Representations to Train an Artificial Immune Network for Clustering Texts
Extracting knowledge from text data is a complex task that is usually performed by first structuring the texts and then applying machine learning algorithms, or by using specific deep architectures capable of dealing ...
Los niveles de representación lingüística y su interacción con los sistemas de performance
(Universidad de La Salle. Ediciones Unisalle, 2005)
Deep neural network approaches for Spanish sentiment analysis of short texts
(Springer Verlag, 2018)
Sentiment Analysis has been extensively researched in the last years. While important theoretical and practical results have been obtained, there is still room for improvement. In particular, when short sentences and low ...
Multimodal representation learning with neural networks
(2018)
Abstract: Representation learning methods have received a lot of attention by researchers and practitioners because of their successful application to complex problems in areas such as computer vision, speech recognition ...
Drawing as a representation of affectivity by children in fundamental educationO desenho como representação da afetividade por crianças do Ensino Fundamental
(Universidade Federal de Santa Maria, 2022)
The Taxonomic Representation of Common Events: A Research Report
(Pontificia Universidad Católica de Chile, 2004)