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Patent Searching and Data


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 (Inc. Meisan Takahama building, 2-12-23, Konan, Minato-k, Tokyo 75, 〒1080075, JP)
Application Number:
JP2019/017193
Publication Date:
November 07, 2019
Filing Date:
April 23, 2019
Export Citation:
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Assignee:
FRONTEO HEALTHCARE, INC. (Meisan Takahama building, 2-12-23 Konan, Minato-k, Tokyo 75, 〒1080075, JP)
International Classes:
G06F16/35
Domestic Patent References:
WO2017199445A12017-11-23
Foreign References:
JP2005208782A2005-08-04
JP2018032213A2018-03-01
Attorney, Agent or Firm:
TACHIBANA Kazuyuki (Hanzomon-First-Bldg. 3F, 1-4 Kojimachi, Chiyoda-k, Tokyo 83, 〒1020083, JP)
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