DEVICE AND METHOD FOR ANALYZING REPUTATION FOR OBJECTS BY DATA MINING

摘要

A device for analyzing reputation for objects by data mining is provided. The device includes a big data collector assembly collecting first information from a web page, a text preprocessor assembly analyzing morpheme information from an original text of the first information, an ontology dictionary extender assembly classifying the morpheme information according to each category and extracting an associated word, an object recognizer assembly measuring similarity between the associated word from the morpheme information to recognize a plurality of entity names associated with a first object, an information sensitivity classifier assembly classifying sensitivity of the first information based on a frequency of a sensitive word associated with the first object from the morpheme information, and a risk evaluation modeler assembly deriving a numeric risk value of the first information according to a numeric sensitivity value of the sensitive word and a weight value level for evaluating event importance.

主权项

1. A device for analyzing reputation for objects by data mining, the device comprising:
a big data collector assembly collecting first information from a web page; a text preprocessor assembly analyzing morpheme information from an original text of the first information; an ontology dictionary extender assembly classifying the morpheme information according to each category and extracting an associated word; an object recognizer assembly measuring similarity between the associated word from the morpheme information to recognize a plurality of entity names associated with a first object; an information sensitivity classifier assembly classifying sensitivity of the first information based on a frequency of a sensitive word associated with the first object from the morpheme information; and a risk evaluation modeler assembly deriving a numeric risk value of the first information according to a numeric sensitivity value of the sensitive word and a weight value level for evaluating event importance.