Patents by Inventor KONSTANTIN ALEKSEEVICH PASECHNIKOV

KONSTANTIN ALEKSEEVICH PASECHNIKOV 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).

  • Aspect-based sentiment analysis and report generation using machine learning methods
    Patent number: 10198432
    Abstract: Systems and methods for aspect-based sentiment analysis using machine learning methods. An example method comprises: receiving, by a computer system, a custom dictionary comprising a list of lexemes referencing at least one of: a target entity or an aspect associated with the target entity; performing, using the custom dictionary, a syntactico-semantic analysis of at least part of a natural language text to produce a plurality of syntactico-semantic structures representing the part of the natural language text; evaluating, using one or more text characteristics produced by the syntactico-semantic analysis, a classifier function to determine polarities associated with one or more aspect terms; and generating a report comprising the aspect terms and polarities of aspects referenced by the aspect terms.
    Type: Grant
    Filed: August 16, 2016
    Date of Patent: February 5, 2019
    Assignee: ABBYY Production LLC
    Inventors: Maksim Borisovich Mikhaylov, Konstantin Alekseevich Pasechnikov
  • ASPECT-BASED SENTIMENT ANALYSIS AND REPORT GENERATION USING MACHINE LEARNING METHODS
    Publication number: 20180032507
    Abstract: Systems and methods for aspect-based sentiment analysis using machine learning methods. An example method comprises: receiving, by a computer system, a custom dictionary comprising a list of lexemes referencing at least one of: a target entity or an aspect associated with the target entity; performing, using the custom dictionary, a syntactico-semantic analysis of at least part of a natural language text to produce a plurality of syntactico-semantic structures representing the part of the natural language text; evaluating, using one or more text characteristics produced by the syntactico-semantic analysis, a classifier function to determine polarities associated with one or more aspect terms; and generating a report comprising the aspect terms and polarities of aspects referenced by the aspect terms.
    Type: Application
    Filed: August 16, 2016
    Publication date: February 1, 2018
    Inventors: MAKSIM BORISOVICH MIKHAYLOV, KONSTANTIN ALEKSEEVICH PASECHNIKOV