Abstract: A method of extracting an important keyword by an important keyword extracting server, the method includes receiving a set of one or more documents from a network, receiving one or more user defined keywords from a user terminal, calculating, by the server, a relative importance value for each of words detected in the set of documents, determining, by the server, a weight for each of the words based on the one or more user defined keywords, applying, by the server, the weight for each of the words to the relative importance value for each of the words, determining, by the server, at least one of the words to be the important keyword based on the relative importance value to which the weight is applied and transmitting, by the server, the important keyword to the user terminal. Therefore, the method may effectively detect a user defined keyword from at least one document.

Abstract: A document classification and analysis system includes a processor, a memory including one or more storage regions, and a non-transitory computer-readable medium having stored thereon instructions that, when executed, cause the processor to perform a method. The method includes receiving a document including a plurality of words, performing morpheme analysis on the document to extract original forms of the words, tagging each of the words based on a corresponding part-of-speech, determining location information of the words based on an order of the words in the document, applying one or more lexicon lists to the document to classify each of the words, and storing the location information.

Abstract: An event processing method includes receiving an event from an event source and identifying an event population and non-event population based on the received event, such that the event population includes a plurality of events and the non-event population includes a plurality of non-events. The method further includes identifying an event feedback group from the events of the identified event population, such that the event feedback group identifies a number of events of the identified event population that have performed a required operation, and determining a ratio of event feedback, the ratio of the event feedback being a ratio of the number of events identified by the event feedback group to a number of the events of the identified event population.

Abstract: A document classification and analysis system includes a processor, a memory including one or more storage regions, and a non-transitory computer-readable medium having stored thereon instructions that, when executed, cause the processor to perform a method. The method includes receiving a document including a plurality of words, performing morpheme analysis on the document to extract original forms of the words, tagging each of the words based on a corresponding part-of-speech, determining location information of the words based on an order of the words in the document, applying one or more lexicon lists to the document to classify each of the words, and storing the location information.

Abstract: A method of extracting an important keyword by an important keyword extracting server, the method includes receiving a set of one or more documents from a network, receiving one or more user defined keywords from a user terminal, calculating, by the server, a relative importance value for each of words detected in the set of documents, determining, by the server, a weight for each of the words based on the one or more user defined keywords, applying, by the server, the weight for each of the words to the relative importance value for each of the words, determining, by the server, at least one of the words to be the important keyword based on the relative importance value to which the weight is applied and transmitting, by the server, the important keyword to the user terminal. Therefore, the method may effectively detect a user defined keyword from at least one document.

Abstract: An event processing method includes receiving an event from an event source and identifying an event population and non-event population based on the received event, such that the event population includes a plurality of events and the non-event population includes a plurality of non-events. The method further includes identifying an event feedback group from the events of the identified event population, such that the event feedback group identifies a number of events of the identified event population that have performed a required operation, and determining a ratio of event feedback, the ratio of the event feedback being a ratio of the number of events identified by the event feedback group to a number of the events of the identified event population.