Topic clustering to generate formulations

A computer program product for generating a new formulation, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• dividing, by a hardware processor, each of input formulations into constituent topics, based on analysis results for an analysis of the input formulations using a topic model algorithm;
• receiving, by the hardware processor, an input query that specifies a set of fragrance notes to he used to generate the new formulation;
• choosing, by the hardware processor, one of the input formulations which includes the set of fragrance notes to be used to generate the new formulation;
• clustering, by the hardware processor, the constituent topics of the chosen one of the input formulations based on a similarity metric;
• and
• generating, by the hardware processor, the new formulation as a response to the input query by selecting, from the input formulations, materials for each of the clustered ones of the constituent topics.

A computer processing system for generating a new formulation, comprising:

• a memory for storing program code;
• and
• a processor for running the program code to
• divide each of input formulations into constituent topics, based on analysis results for an analysis of the input formulations using a topic model algorithm;
• receive an input query that specifics a set of fragrance notes to be used to generate the new formulation;
• choose one of the input formulations which includes the set of fragrance notes to be used to generate the new formulation;
• cluster the constituent topics of the chosen one of the input formulations based on a similarity metric;
• and
• generate the new formulation as a response to the input query by selecting, from the input formulations, materials for each of the clustered ones of the constituent topics.