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US 12,625,899 B2Granted
Document search system and document search method
AssigneeSemiconductor Energy Laboratory Co., Ltd.
InventorsKazuki Higashi, Junpei Momo
Life of this patent
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Abstract
Highly accurate document search, especially intellectual property-related document search, is achieved with a simple input method. A processing portion has a function of generating text analysis data from text data input to an input portion; a function of extracting a search word from words included in the text analysis data; and a function of generating first search data from the search word on the basis of weight dictionary data and thesaurus data. A memory portion stores second search data generated when the first search data is modified by a user. The processing portion updates the thesaurus data in accordance with the second search data.
Claims9
A semiconductor device comprising:
- a processing portion, the processing portion comprising:
- a processor comprising a transistor;
- and
- a memory portion in which a program is stored,
- wherein the processor is configured to perform a document search comprising the steps of:
- generating weight dictionary data and thesaurus data on the basis of a plurality of pieces of reference document data stored in a database;
- generating text analysis data from text data;
- extracting a search word from words included in the text analysis data;
- generating first search data from the search word on the basis of the weight dictionary data and the thesaurus data;
- modifying the first search data to generate second search data by modifying a value of weight data of the first search data;
- storing the second search data in the memory portion;
- updating the thesaurus data by adding a product of a contribution ratio and a difference between the first search data and second search data after the second search data has been stored in the memory portion;
- generating ranking data by giving scores to the plurality of pieces of reference document data on the basis of the second search data and ranking the plurality of pieces of reference document data on the basis of the scores to the thesaurus data,
- wherein reference text analysis data is generated from the plurality of pieces of reference document data,
- wherein a plurality of keywords and related terms of the keywords are extracted from words included in the reference text analysis data,
- wherein the value of weight data is modified in accordance with a degree of relevance of the related terms of the keywords by a user,
- wherein the weight dictionary data is generated by extracting appearance frequencies of the keywords from the words included in the reference text analysis data and adding, to each of the plurality of keywords, a first weight based on the appearance frequency, and
- wherein the first weight is a value based on an inverse document frequency of the keyword in the reference text analysis data.
15 more elements
A semiconductor device comprising:
- a processing portion, the processing portion comprising:
- a processor comprising a transistor;
- and
- a memory portion in which a program is stored,
- wherein the processor is configured to perform a document search comprising the steps of:
- generating weight dictionary data and thesaurus data on the basis of a plurality of pieces of reference document data stored in a database;
- generating text analysis data from text data;
- extracting a search word from words included in the text analysis data;
- generating first search data from the search word on the basis of the weight dictionary data and the thesaurus data;
- modifying the first search data to generate second search data by modifying a value of weight data of the first search data;
- storing the second search data in the memory portion;
- updating the thesaurus data by adding a product of a contribution ratio and a difference between the first search data and second search data after the second search data has been stored in the memory portion;
- generating ranking data by giving scores to the plurality of pieces of reference document data on the basis of the second search data and ranking the plurality of pieces of reference document data on the basis of the scores to the thesaurus data,
- wherein the value of weight data is modified in accordance with a degree of relevance of related terms of a keyword by a user.
11 more elements
Dependencies are inferred from the claim text.