Mitsubishi Electric Corporation

Takeyuki Aikawa

Yohei Okato

Hayato Uchide

Yusuke Koji

Hiroyasu Itsui

Daishin Ito

An information processing device includes an acquisition unit that acquires a plurality of documents and clue information including a plurality of words and a generation processing unit that generates inter-document relationship source information based on the plurality of documents and the clue information, generates high frequency appearance information based on the inter-document relationship source information, generates vicinity appearance information based on the high frequency appearance information, and generates an inter-document relationship table based on the vicinity appearance information.

Information processing device, and generation method

A similar expression collecting unit () collects a word/phrase of an expression similar to an analysis viewpoint word/phrase and a word embedding corresponding the word/phrase from distributed representations of words data. A dimension selecting unit () selects a dimension of a word embedding depending on the analysis viewpoint word/phrase, and compresses a word embedding corresponding to the word/phrase collected by the similar expression collecting unit () in the selected dimension.

Data analyzer and data analysis method

A search unit 60 calculates a character-string similarity by acquiring expansion source document data partially matching a search query 70 from a character-string search index 40, determines a relational-data expansion similarity by acquiring expansion destination document data defined to have a relationship with the expansion source document data from a relational-data expansion index 50 and correcting the acquired data by the character-string similarity of the expansion destination document data and relation weight data 80, and outputs a search result 90 arranged in an order of the relational-data expansion similarity.

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Tokyo, Japan

Takeyuki Aikawa