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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 9, ISSUE 11, NOVEMBER 2020

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.

How to Cite:

[1] Sarthak Doshi, Kalpesh Shah, “Decision Strength Prediction using IBM Watson Natural Language Understanding,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.91107