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Sentiment analysis by using Naïve-Bayes classifier with stacked CARU
Ka Hou Chan
,
Sio Kei Im
Faculty of Applied Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Citations (Scopus)
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Dive into the research topics of 'Sentiment analysis by using Naïve-Bayes classifier with stacked CARU'. Together they form a unique fingerprint.
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Computer Science
Sentiment Analysis
100%
Nave Bayes
100%
Bayes Classifier
100%
Convolutional Neural Network
66%
Interpretability
33%
Recurrent Neural Network
33%
Term Dependency
33%
Resulting Network
33%
Conditional Independence
33%
Hidden Variable
33%
Softmax Function
33%
Mathematics
Nave Bayes
100%
Opinion Mining
100%
Convolutional Neural Network
66%
Probability Distribution
33%
Softmax Function
33%
Interpretability
33%
Hidden State
33%
Conditional Independence
33%
Hidden Variable
33%
Engineering
Bayes Classifier
100%
Opinion Mining
100%
Extractor
66%
Convolutional Neural Network
66%
Conditional Independence
33%
Earth and Planetary Sciences
Sea Surface Temperature
100%