Patents by Inventor Jong Cheoll MOON

Jong Cheoll MOON has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9563770
    Abstract: The present invention relates to a spammer group extraction apparatus and method, which extract spammer groups that interfere with fair trade and unbiased decision making by sending messages aimed at intentionally slandering other companies (other persons, other products, etc.) on social network services. The spammer group extraction apparatus includes a data collection unit for collecting pieces of data corresponding to social network services. A natural language processing unit preprocesses the pieces of data using a natural language processing algorithm based on big data. An abnormal behavior detection unit detects abnormal behavior based on user identifications (IDs) respectively corresponding to pieces of data, preprocessing of which has been completed. A spammer extraction unit extracts a spammer group using a user ID causing the abnormal behavior and an ID of a user group including the user ID.
    Type: Grant
    Filed: July 7, 2014
    Date of Patent: February 7, 2017
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Min Sik Kim, Ki Heon Kim, Min Kyung Cho, In Sung Park, Jong Cheoll Moon, Sang Woo Park
  • Publication number: 20150113651
    Abstract: The present invention relates to a spammer group extraction apparatus and method, which extract spammer groups that interfere with fair trade and unbiased decision making by sending messages aimed at intentionally slandering other companies (other persons, other products, etc.) on social network services. The spammer group extraction apparatus includes a data collection unit for collecting pieces of data corresponding to social network services. A natural language processing unit preprocesses the pieces of data using a natural language processing algorithm based on big data. An abnormal behavior detection unit detects abnormal behavior based on user identifications (IDs) respectively corresponding to pieces of data, preprocessing of which has been completed. A spammer extraction unit extracts a spammer group using a user ID causing the abnormal behavior and an ID of a user group including the user ID.
    Type: Application
    Filed: July 7, 2014
    Publication date: April 23, 2015
    Inventors: Min Sik KIM, Ki Heon KIM, Min Kyung CHO, In Sung PARK, Jong Cheoll MOON, Sang Woo PARK