Patents by Inventor Johnny AZZI

Johnny AZZI 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).

  • Techniques for understanding the aboutness of text based on semantic analysis
    Patent number: 9632999
    Abstract: In one embodiment of the present invention, a semantic analyzer translates a text segment into a structured representation that conveys the meaning of the text segment. Notably, the semantic analyzer leverages a semantic network to perform word sense disambiguation operations that map text words included in the text segment into concepts—word senses with a single, specific meaning—that are interconnected with relevance ratings. A topic generator then creates topics on-the-fly that includes one or more mapped concepts that are related within the context of the text segment. In this fashion, the topic generator tailors the semantic network to the text segment. A topic analyzer processes this tailored semantic network, generating a relevance-ranked list of topics as a meaningful proxy for the text segment. Advantageously, operating at the level of concepts and topics reduces the misinterpretations attributable to key word and statistical analysis methods.
    Type: Grant
    Filed: April 3, 2015
    Date of Patent: April 25, 2017
    Assignee: KLANGOO, SAL.
    Inventors: Johnny Azzi, Romeo Issa, Walid Saba, Eddy Touma
  • TECHNIQUES FOR UNDERSTANDING THE ABOUTNESS OF TEXT BASED ON SEMANTIC ANALYSIS
    Publication number: 20160292145
    Abstract: In one embodiment of the present invention, a semantic analyzer translates a text segment into a structured representation that conveys the meaning of the text segment. Notably, the semantic analyzer leverages a semantic network to perform word sense disambiguation operations that map text words included in the text segment into concepts—word senses with a single, specific meaning—that are interconnected with relevance ratings. A topic generator then creates topics on-the-fly that includes one or more mapped concepts that are related within the context of the text segment. In this fashion, the topic generator tailors the semantic network to the text segment. A topic analyzer processes this tailored semantic network, generating a relevance-ranked list of topics as a meaningful proxy for the text segment. Advantageously, operating at the level of concepts and topics reduces the misinterpretations attributable to key word and statistical analysis methods.
    Type: Application
    Filed: April 3, 2015
    Publication date: October 6, 2016
    Inventors: Johnny AZZI, Romeo ISSA, Walid SABA, Eddy TOUMA