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Sephardic Customs as a Discourse Topic in the Ladinokomunita Internet Correspondence Circle
2020exaly +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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Syntax-prosody mapping, topic-comment structure and stress-focus correspondence in Hungarian
2012Balázs Surányi
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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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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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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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ISTORIYA, 2022
The period of the Merovingian rule in Francia (late V — middle VIII centuries) was marked by the production of a significant number of written sources of various genres. The letters that came to us from this period (more than 600), for a long time have been used as a source of information, primarily on the political history of the early Middle Ages ...
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The period of the Merovingian rule in Francia (late V — middle VIII centuries) was marked by the production of a significant number of written sources of various genres. The letters that came to us from this period (more than 600), for a long time have been used as a source of information, primarily on the political history of the early Middle Ages ...
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2007 IEEE 11th International Conference on Computer Vision, 2007
Topic models from the text understanding literature have shown promising results in unsupervised image categorization and object localization. Categories are treated as topics, and words are formed by vector quantizing local descriptors of image patches.
David Liu 0001, Tsuhan Chen
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Topic models from the text understanding literature have shown promising results in unsupervised image categorization and object localization. Categories are treated as topics, and words are formed by vector quantizing local descriptors of image patches.
David Liu 0001, Tsuhan Chen
openaire +1 more source