Information processor and program for implementing information processor
First Claim
1. An information processor comprising:
- a memory unit for storing multiple data;
an association attaching unit for attaching common associations to data possessing a common word or term among the stored data; and
an analysis unit for analyzing said data, wherein the analysis unit analyzes data with no associations by using a negative word dictionary, and data with associations is analyzed by different analysis.
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Abstract
Disclosed is a text mining method with steps for separating high frequency information and low frequency information and applying an ideal analysis method to each kind of information. Negative expressions and modality expressions are extracted from the low frequency information to assist in extracting valuable knowledge for risk management. Text classification technology by the conventional key word method is suitable for extracting and classifying high frequency knowledge but extracting valuable information for risk management or from the actual customer voice in the call center text database requires extracting the essential valuable knowledge from vast quantities of ordinary information. This method has a function to hold in a folder the document found by a keyword search, and a function to store the remaining text into a low frequency information folder, after having stored the high frequency information found by keyword search. A function is also provided for extracting modality expressions that express negative expressions and modalities as a unit to extract valuable knowledge for risk management from low frequency information.
22 Citations
14 Claims
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1. An information processor comprising:
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a memory unit for storing multiple data;
an association attaching unit for attaching common associations to data possessing a common word or term among the stored data; and
an analysis unit for analyzing said data, wherein the analysis unit analyzes data with no associations by using a negative word dictionary, and data with associations is analyzed by different analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An information processor comprising:
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a first dictionary for storing words in Chinese character units;
a second dictionary for restoring words containing said Chinese characters;
a display unit; and
an input unit, wherein a search unit for searching for words stored in second dictionary from data recorded in a memory unit, and said search unit searches also for words containing Chinese characters stored in said first dictionary, and displays retrieved words containing Chinese characters stored in said first dictionary on a display unit, and stores words specified from among said displayed words into said second dictionary. - View Dependent Claims (11, 12, 13)
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14. A program comprising:
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a step for accepting the entry of a key word;
a step for searching multiple data stored in a memory unit containing said multiple data by using a key word;
a step for attaching a common association to the extracted results of said search; and
a step for analyzing data not attached with associations by using said negative word dictionary, and analyzing data attached with associations using data that is not said negative word dictionary.
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Specification