Title:
PHENOMENON PREDICTION DEVICE, PREDICTION MODEL GENERATION DEVICE, AND PHENOMENON PREDICTION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/212006
Kind Code:
A1
Abstract:
The present invention is provided with: a learning data input unit 10 that inputs m sentences as learning data; a similarity index value calculation unit 100 that extracts n words from the m sentences and calculates a similarity index value reflecting a relation between the m sentences and the n words; a classification model generation unit 14 that, on the basis of a sentence index value group comprising n similarity index values regarding one sentence, generates a classification model for classifying the m sentences into a plurality of phenomena; and a phenomenon prediction unit 21 that predicts any one of a plurality of phenomena from a to-be-predicted sentence by applying, to the classification model, the similarity index value calculated by the similarity index value calculation unit 100 from the sentence inputted by a prediction data input unit 20. The present invention generates a high-precision classification model by using the similarity index value indicating the extent to which a given word contributes to a given sentence.
Inventors:
TOYOSHIBA HIROYOSHI (JP)
Application Number:
PCT/JP2019/017193
Publication Date:
November 07, 2019
Filing Date:
April 23, 2019
Export Citation:
Assignee:
FRONTEO HEALTHCARE INC (JP)
International Classes:
G06F16/35
Domestic Patent References:
| WO2017199445A1 | 2017-11-23 |
Foreign References:
| JP2005208782A | 2005-08-04 | |||
| JP2018032213A | 2018-03-01 | |||
| JP2002149675A | 2002-05-24 | |||
| JP2004287776A | 2004-10-14 |
Other References:
QUOC LETOMAS MIKOLOV: "Proceedings of the 31st International Conference on Machine Learning Held in Bejing, China", 22 June 2014, GOOGLE INC, article "Distributed Representations of Sentences and Documents"
See also references of EP 3779728A4
See also references of EP 3779728A4
Attorney, Agent or Firm:
TACHIBANA Kazuyuki (JP)
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