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Data Technologies and Applications

Material type: materialTypeLabelBookPublisher: Emerald ISSN: 2514-9288.Subject(s): Opinion mining -- Opinion miningOnline resources: Click here to access online Summary: The fabulous results of convolution neural networks in image-related tasks attracted attention of text mining, sentiment analysis and other text analysis researchers. It is, however, difficult to find enough data for feeding such networks, optimize their parameters, and make the right design choices when constructing network architectures
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The fabulous results of convolution neural networks in image-related tasks attracted attention of
text mining, sentiment analysis and other text analysis researchers. It is, however, difficult to find enough
data for feeding such networks, optimize their parameters, and make the right design choices when
constructing network architectures

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