MS-TR: A Morphologically Enriched Turkish Sentiment Treebank
Published: 23 November 2020| Version 1 | DOI: 10.17632/nz7vm5rchd.1
Contributor:
Sultan Zeybek
Description
In this dataset, we introduce MS-TR a Morphologically Enriched Sentiment Treebank, which was implemented for training Recursive Deep Models to address compositional sentiment analysis in Turkish.
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Categories
Computer Science, Applied Computer Science, Turkish Language, Deep Learning, Deep Neural Network, Textual Analysis, Sentiment Analysis