Patent ID: 11880651
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for classifying taste and smell, comprising:
receiving, by one or more processors, an input from a plurality of users, the input including information regarding at least one of changes in smell and changes in taste perceived by each of the plurality of users, the input being received from the plurality of users in one or more languages;
using natural language processing, extracting, by the one or more processors, a text comprising one or more words from the input, the text being associated with taste and smell perceptions;
generating, by the one or more processors, feature vectors for the text extracted from the input using global vectors;
calculating, by the one or more processors, a distance between the feature vectors and a plurality of reference descriptors associated with taste and smell for determining a similarity between the text extracted from the input and the plurality of reference descriptors and generating a training dataset; and
generating, by the one or more processors, a classification model based on the training dataset for categorizing the plurality of users according to the at least one of changes in smell and changes in taste.