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Decision Strength Prediction using IBM Watson Natural Language Understanding
Sarthak Doshi, Kalpesh Shah
DOI: 10.17148/IJARCCE.2020.91107
Abstract: Decision strength is all about the supporting factors and Eigen values that create an impact when forming a decision considering the machine learning models while using the Natural language processing. This paper deals with the way of data collection and predicting the decision tree using the simple data. This paper supports decision strength prediction in the Android systems with the actual mobile application supporting the Watson Natural Language Understanding methodology.
Keywords: Natural Language Understanding, Android, Alchemy Language, Machine Learning, Watson API.
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How to Cite:
[1] Sarthak Doshi, Kalpesh Shah, βDecision Strength Prediction using IBM Watson Natural Language Understanding,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.91107
