Information processing device, information processing method, computer program, and extraction method

Abstract

The present invention provides an information processing device, an information processing method, a computer program, and an extraction method that assist in determining the functional ingredients to be incorporated into newly developed products. [Solution] The information processing device of the present disclosure includes: an acquisition unit that acquires information on at least one functional component contained in a raw material; a collection unit that collects text data relating to an existing product containing the functional component contained in the raw material; a first extraction unit that extracts keywords from the text data; a calculation unit that calculates an evaluation value for the existing product; a construction unit that constructs a prediction model to predict the evaluation value from the keywords; a second extraction unit that extracts important keywords that have a high contribution to the evaluation value from among the keywords; an identification unit that identifies keywords that have a high correlation with the important keywords; and an output unit that outputs the functional component represented by the identified keywords as a functional component to be incorporated into a newly developed product.

Claims

1. An acquisition unit that acquires information specifying at least one functional component from among multiple functional components contained in the raw material, A data collection unit collects text data relating to existing products containing at least one of the aforementioned functional ingredients. A first extraction unit extracts keywords from the aforementioned text data, A calculation unit that calculates an evaluation value for the existing product based on evaluation information for the existing product, A construction unit that constructs a predictive model that predicts the evaluation value using the aforementioned keywords as input, A second extraction unit extracts important keywords from the keywords that have a high contribution to the evaluation value based on the prediction model, A selection unit calculates information representing the correlation between the important keywords and the keywords based on the text data, and identifies keywords from among the keywords that have a high correlation with the important keywords and represent functional components included in the plurality of functional components, Based on the identified keywords, the output unit outputs information representing candidate functional ingredients to be incorporated into the newly developed product. Equipped with, information processing device.

2. The aforementioned prediction model is a neural network model. The information processing apparatus according to claim 1.

3. The system further includes an optimization unit that optimizes the prediction model by removing keywords that have a small contribution to the evaluation value from the keywords, based on the weight of each keyword in the prediction model. The information processing apparatus according to claim 1.

4. The second extraction unit extracts the important keywords based on the change in the predicted value output from the prediction model when any one of the keywords is deleted and input into the prediction model. The information processing apparatus according to claim 1.

5. The system further includes a classification unit that classifies the existing products into multiple classes based on the similarity between keyword vectors containing the keywords for each of the existing products. The specified unit identifies, for each of the plurality of classes, a keyword representing the functional component that has a high correlation with the important keyword. The information processing apparatus according to claim 1.

6. The output unit outputs information representing the functional component for each of the plurality of classes, along with information representing the class. The information processing apparatus according to claim 5.

7. The output unit outputs information representing the functional component for the class selected by the user from among the multiple classes, along with information representing the class. The information processing apparatus according to claim 5.

8. The specified unit selects one of the plurality of classes based on the correlation between the important keyword and the keyword relating to the existing product belonging to the class, The output unit outputs information representing the functional component for the selected class, along with information representing the class. Output The information processing apparatus according to claim 5.

9. The second extraction unit extracts the important keywords for each of the multiple classes. The information processing apparatus according to claim 5.

10. The aforementioned prediction model takes the presence or absence of the aforementioned keyword related to the existing product as an input variable and outputs the aforementioned evaluation value as an output variable. The information processing apparatus according to claim 1.

11. The acquisition unit acquires information specifying the at least one functional component from user input. The information processing apparatus according to claim 1.

12. The calculation unit calculates the evaluation value based on at least one of the following: the review value of the existing product, the number of reviews, the sales amount, the number of sales, and the evaluation from customer surveys. The information processing apparatus according to any one of claims 1 to 11.

13. A step of obtaining information that specifies at least one functional component from among multiple functional components contained in the raw material, The steps include: collecting text data relating to existing products containing at least one of the functional ingredients; The steps include extracting keywords from the aforementioned text data, A step of calculating an evaluation value for the existing product based on evaluation information for the existing product, The steps include constructing a predictive model that predicts the evaluation value using the aforementioned keywords as input, Based on the aforementioned prediction model, the steps include: extracting important keywords from the keywords that have a high contribution to the evaluation value; The steps include: calculating information representing the correlation between the important keywords and the keywords based on the text data, identifying keywords from among the keywords that have a high correlation with the important keywords and represent functional components included in the multiple functional components; Based on the identified keywords, the step of outputting information representing candidate functional ingredients to be incorporated into the newly developed product, A method of information processing that a computer performs.

14. A step of obtaining information that specifies at least one functional component from among multiple functional components contained in the raw material, The steps include: collecting text data relating to existing products containing at least one of the functional ingredients; The steps include extracting keywords from the aforementioned text data, A step of calculating an evaluation value for the existing product based on evaluation information for the existing product, The steps include constructing a predictive model that predicts the evaluation value using the aforementioned keywords as input, Based on the aforementioned prediction model, the steps include: extracting important keywords from the keywords that have a high contribution to the evaluation value; The steps include: calculating information representing the correlation between the important keywords and the keywords based on the text data, identifying keywords from among the keywords that have a high correlation with the important keywords and represent functional components included in the multiple functional components; Based on the identified keywords, the step of outputting information representing candidate functional ingredients to be incorporated into the newly developed product, A computer program that causes a computer to execute something.

15. An extraction method for extracting multiple functional components represented by information output by the information processing device described in claim 1 from the same raw material, The process includes a multi-stage extraction process using a carbon dioxide supercritical fluid solvent to extract lipophilic components, and an intermediate step of replacing the flow path with ethanol between the extraction process using water as the main solvent to extract hydrophilic components. Extraction method.

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