US 2015/0088491 A1Published application

Keyword extraction apparatus and method

AssigneeKabushiki Kaisha Toshiba

InventorsKosei Fume, Masayuki Okamoto, Hisayoshi Nagae

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Abstract

According to one embodiment, a keyword extraction apparatus includes a separation unit, a generation unit, a calculation unit, a first update unit, a second update unit. The separation unit separates a first annotation from each of a plurality of documents. The generation unit generates one or more document clusters by calculating a score of keywords and performing clustering on documents having a correlation value higher than a threshold. The calculation unit calculates a characteristic quantity in accordance with a type of a second annotation. The first update unit updates the score of the keyword to which the second annotation is added, based on the characteristic quantity. The second update unit updates the one or more document cluster in accordance with the updated score to obtain an updated document cluster.

Claims15

Dependent claims

A keyword extraction apparatus, comprising:

a separation unit configured to separate a first annotation from each of a plurality of documents, the first annotation expressing a user's intention, the plurality of documents each being a document that the first annotation is added to texts in the document;
a first extraction unit configured to extract general terms from the plurality of documents based on pre-defined word class information;
a second extraction unit configured to extract, from the plurality of documents, complex words different from general terms as user terms based on appearance frequencies of the complex words;
a generation unit configured to generate one or more document clusters by calculating a score of keywords that are the general terms and the user terms and performing clustering on documents having a correlation value higher than a threshold, the correlation value being a value of correlation between the plurality of documents based on the score;
a calculation unit configured to calculate a characteristic quantity in accordance with a type of a second annotation if the second annotation added to a keyword included in the one or more document cluster by a user is obtained;
a first update unit configured to update the score of the keyword to which the second annotation is added, based on the characteristic quantity;
and
a second update unit configured to update the one or more document cluster in accordance with the updated score to obtain an updated document cluster.

5 more elements

A keyword extraction method, comprising:

separating a first annotation from each of a plurality of documents, the first annotation expressing a user's intention, the plurality of documents each being a document that the first annotation is added to texts in the document;
extracting general terms from the plurality of documents based on pre-defined word class information;
extracting, from the plurality of documents, complex words different from general terms as user terms based on appearance frequencies of the complex words;
generating one or more document clusters by calculating a score of keywords that are the general terms and the user terms and performing clustering on documents having a correlation value higher than a threshold, the correlation value being a value of correlation between the plurality of documents based on the score;
calculating a characteristic quantity in accordance with a type of a second annotation if the second annotation added to a keyword included in the one or more document cluster by a user is obtained;
updating the score of the keyword to which the second annotation is added, based on the characteristic quantity;
and
updating the one or more document cluster in accordance with the updated score to obtain an updated document cluster.

5 more elements

A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method comprising:

separating a first annotation from each of a plurality of documents, the first annotation expressing a user's intention, the plurality of documents each being a document that the first annotation is added to texts in the document;
extracting general terms from the plurality of documents based on pre-defined word class information;
extracting, from the plurality of documents, complex words different from general terms as user terms based on appearance frequencies of the complex words;
generating one or more document clusters by calculating a score of keywords that are the general terms and the user terms and performing clustering on documents having a correlation value higher than a threshold, the correlation value being a value of correlation between the plurality of documents based on the score;
calculating a characteristic quantity in accordance with a type of a second annotation if the second annotation added to a keyword included in the one or more document cluster by a user is obtained;
updating the score of the keyword to which the second annotation is added, based on the characteristic quantity;
and
updating the one or more document cluster in accordance with the updated score to obtain an updated document cluster.

5 more elements

Dependencies are inferred from the claim text.