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    • 3. 发明申请
    • Text mining server and program
    • 文本挖掘服务器和程序
    • US20060069673A1
    • 2006-03-30
    • US11203305
    • 2005-08-15
    • Yuji MorikawaTadashi Mizunuma
    • Yuji MorikawaTadashi Mizunuma
    • G06F17/30
    • G06F17/30864Y10S707/99931Y10S707/99932Y10S707/99934Y10S707/99935
    • In the preparation of a characteristic word list as one method of text mining, means for selecting an unnecessary word group that requires to be removed in advance is provided. Document IDs and a user ID are received from a client, and a characteristic word list is prepared from the document IDs and document information obtained in advance. Next, selected book IDs are obtained referring to the user ID and a user attribute table. On the basis of the obtained book IDs, unnecessary words are removed from the characteristic word list prepared by characteristic word list preparation program, and the characteristic word list from which the unnecessary words are removed is returned to the client as mining results.
    • 在作为文本挖掘的一种方法的特征词列表的准备中,提供了用于选择需要被预先移除的不必要的字组的装置。 从客户端接收文档ID和用户ID,并根据预先获得的文档ID和文档信息准备特征词列表。 接下来,参考用户ID和用户属性表来获得所选择的书籍ID。 根据获得的书籍ID,从由特征词列表准备程序准备的特征词列表中除去不必要的词,并且将不必要的词被删除的特征词列表作为挖掘结果返回给客户端。
    • 4. 发明申请
    • Text mining server and program
    • 文本挖掘服务器和程序
    • US20050289135A1
    • 2005-12-29
    • US11157918
    • 2005-06-22
    • Yuji Morikawa
    • Yuji Morikawa
    • G06F17/30G06F19/00G06F19/24G06F19/28
    • G06F16/334
    • When the characteristics of the entire gene group consisting of a plurality of genes are to be grasped, the tendency that the characteristics of a gene having a large number of documents become dominant can be avoided. A plurality of search keys are accepted from a client, and a set of document groups each corresponding to the plurality of the accepted search keys is obtained by searching a database in which corresponding relationships between the search keys and the document groups are recorded. Next, an associative search is performed on a document database with respect to each of the search keys using the obtained document groups as keys to obtain a new set of document groups including the obtained document groups. Characteristic words are extracted from the new set of document groups, and a characteristic word list is sent to the client as mining results.
    • 当要掌握由多个基因组成的整个基因组的特征时,可以避免具有大量文献的基因的特征占主导地位的倾向。 从客户端接受多个搜索关键字,并且通过搜索记录了搜索关键字和文档组之间的对应关系的数据库来获得每个对应于多个被接受的搜索关键字的一组文档组。 接下来,使用获得的文档组作为关键字,针对每个搜索关键字对文档数据库执行关联搜索,以获得包括所获得的文档组的新的文档组集合。 从新的文档组集合中提取特征词,并将特征词列表作为挖掘结果发送给客户端。
    • 7. 发明授权
    • Text mining server and program
    • 文本挖掘服务器和程序
    • US07302427B2
    • 2007-11-27
    • US11203305
    • 2005-08-15
    • Yuji MorikawaTadashi Mizunuma
    • Yuji MorikawaTadashi Mizunuma
    • G06F17/30
    • G06F17/30864Y10S707/99931Y10S707/99932Y10S707/99934Y10S707/99935
    • In the preparation of a characteristic word list as one method of text mining, means for selecting an unnecessary word group that requires to be removed in advance is provided. Document IDs and a user ID are received from a client, and a characteristic word list is prepared from the document IDs and document information obtained in advance. Next, selected book IDs are obtained referring to the user ID and a user attribute table. On the basis of the obtained book IDs, unnecessary words are removed from the characteristic word list prepared by characteristic word list preparation program, and the characteristic word list from which the unnecessary words are removed is returned to the client as mining results.
    • 在作为文本挖掘的一种方法的特征词列表的准备中,提供了用于选择需要被预先移除的不必要的字组的装置。 从客户端接收文档ID和用户ID,并根据预先获得的文档ID和文档信息准备特征词列表。 接下来,参考用户ID和用户属性表来获得所选择的书籍ID。 根据获得的书籍ID,从由特征词列表准备程序准备的特征词列表中除去不必要的词,并且将不必要的词被删除的特征词列表作为挖掘结果返回给客户端。