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Featured correspondence topic model for semantic search on social image collections
Expert Systems With Applications, 2017A new framework to retrieve semantically relevant images from the social database.Probabilistic topic model to predict the missing tags and remove the noisy ones.Two algorithms for the estimation of model parameters and tag correspondence.The scoring scheme relies on the fusion of visual and textual information.The outperformance of image annotation ...
Nguyen Anh Tu +2 more
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Nonparametric Symmetric Correspondence Topic Models for Multilingual Text Analysis
Lecture Notes in Computer Science, 2015Topic model aims to analyze collection of documents and has been widely used in the fields of machine learning and natural language processing. Recently, researchers proposed some topic models for multilingual parallel or comparable documents. The symmetric correspondence Latent Dirichlet Allocation SymCorrLDA is one such model.
Wang Houfeng
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The following letter now concludes correspondence on this topic
Endoscopy, 1985P. Hermanek, J.R. Riemann
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Sephardic Customs as a Discourse Topic in the Ladinokomunita Internet Correspondence Circle
2020exaly +2 more sources
Editor: the correspondence on this topic concludes with the following response from H. Saunders
Ophthalmic and Physiological Optics, 1989exaly +2 more sources
Cross-domain sentiment classification via topical correspondence transfer
Neurocomputing, 2015Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of user generated sentiment data (e.g., reviews, blogs). In real applications, these users generated sentiment data can span so many different domains that it is difficult to manually label training data for all of them.
Guangyou Zhou +4 more
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Symmetric Correspondence Topic Models for Multilingual Text Analysis
2018Topic modeling is a widely used approach to analyzing large text collections. A small number of multilingual topic models have recently been explored to discover latent topics among parallel or comparable documents, such as in Wikipedia. Other topic models that were originally proposed for structured data are also applicable to multilingual documents ...
Kosuke Fukumasu +2 more
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Semantic image retrieval using correspondence topic model with background distribution
2016 International Conference on Big Data and Smart Computing (BigComp), 2016Social image search becomes an active research field in recent years due to the rapid development in big data processing technologies. In the retrieval systems, text description/tags play a key role to bridge the semantic gap between low-level features and higher-level concepts, and so guarantee the reliable search. However, in practice manual tags are
Nguyen Anh Tu +2 more
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Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Commenting is a popular facility provided by news sites. Analyzing such user-generated content has recently attracted research interest. However, in multilingual societies such as India, analyzing such user-generated content is hard due to several reasons: (1) There are more than 20 official languages but linguistic resources are ...
Goutham Tholpadi +3 more
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