Predictive modeling for odor character of a chemical using machine learning combined with natural language processing.
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ABSTRACT:
SUBMITTER: Nozaki Y
PROVIDER: S-EPMC6002022 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Publications
Predictive modeling for odor character of a chemical using machine learning combined with natural language processing.
Nozaki Yuji Y Nakamoto Takamichi T
PloS one 20180614 6
Recent studies on machine learning technology have reported successful performances in some visual and auditory recognition tasks, while little has been reported in the field of olfaction. In this paper we report computational methods to predict the odor impression of a chemical from its physicochemical properties. Our predictive model utilizes nonlinear dimensionality reduction on mass spectra data and performs the clustering of descriptors by natural language processing. Sensory evaluation is ...[more]
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Project description:[This corrects the article DOI: 10.1371/journal.pone.0198475.].
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