Recommendation sentence generation device, recommendation sentence generation method, and recommendation sentence generation program

Patent metadata

Field	Value
Publication number	US-2020293719-A1
Application number	US-202016801237-A
Country	US
Kind code	A1
Filing date	Feb 26, 2020
Priority date	Mar 11, 2019
Publication date	Sep 17, 2020
Grant date	—

Abstract

A recommendation sentence generation device according to the disclosure is a recommendation sentence generation device that generates a recommendation sentence about a facility. This recommendation sentence generation device is equipped with a selection unit that selects document data written about the facility, based on an appearance frequency of a topic word that is associated with the facility, and a correction unit that corrects a predetermined word that is included in the selected document data.

First claim

What is claimed is:

1 . A recommendation sentence generation device that generates a recommendation sentence about a subject matter, comprising:
a selection unit that selects a document written about the subject matter, based on an appearance frequency of a topic word that is associated with the subject matter; and a correction unit that corrects a predetermined word that is included in the selected document.

2 . The recommendation sentence generation device according to claim 1 , further comprising:
an extraction unit that extracts an important sentence from the selected document, based on a degree of importance indicating reliability of information, wherein the correction unit corrects the predetermined word that is included in the important sentence.

3 . The recommendation sentence generation device according to claim 2 , further comprising:
an importance degree calculation unit that calculates the degree of importance of a sentence that is included in the selected document, based on a word that is commonly used among a plurality of sentences in the selected document.

4 . The recommendation sentence generation device according to claim 3 , wherein
the importance degree calculation unit calculates the degree of importance of the sentence that is included in the selected document, based further on a quantity of additional information that is associated with the subject matter.

5 . The recommendation sentence generation device according to claim 3 , wherein
the importance degree calculation unit calculates the degree of importance of the sentence that is included in the selected document, using a weight corresponding to a characteristic word that is associated with the subject matter.

6 . The recommendation sentence generation device according to claim 1 , wherein
the correction unit carries out at least one of fixed conversion for converting the predetermined word into another predetermined word, random conversion for converting the predetermined word into one of a plurality of other predetermined words, and addition for adding another predetermined word to the predetermined word.

7 . The recommendation sentence generation device according to claim 1 , further comprising:
a classification unit that classifies the document into one of a plurality of topic clusters, based on the topic word, wherein the selection unit determines a main topic cluster from among the plurality of the topic clusters, based on a number of classified documents, and selects a document classified into the main topic cluster.

8 . The recommendation sentence generation device according to claim 7 , further comprising:
a total value calculation unit that quantifies words of each predetermined part of speech that is included in the document, and that calculates a total value of the document, wherein the classification unit classifies the document into one of the plurality of the topic clusters, based on the total value.

9 . The recommendation sentence generation device according to claim 7 , wherein the classification unit classifies the document into one of the plurality of the topic clusters, through use of an unsupervised data classification method.

10 . A recommendation sentence generation method for generating a recommendation sentence about a subject matter, comprising:
a step of selecting a document written about the subject matter, based on an appearance frequency of a topic word that is associated with the subject matter; and a step of correcting a predetermined word that is included in the selected document.

11 . A recommendation sentence generation program that is executed by a computer to generate a recommendation sentence about a subject matter, comprising:
a step of selecting a document written about the subject matter, based on an appearance frequency of a topic word that is associated with the subject matter; and a step of correcting a predetermined word that is included in the selected document.

Assignees

• Toyota Motor Co Ltd

Inventors

• Suzuki Koichi

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06F16/35 Primary

  Clustering; Classification · CPC title

• G06N20/00

  Machine learning · CPC title

• G06N5/04

  Inference or reasoning models · CPC title

• G06F40/56 Primary

  Natural language generation · CPC title