Patents Assigned to Social Market Analytics, Inc.
  • Systems and methods of detecting, measuring, and extracting signatures of signals embedded in social media data streams
    Patent number: 10846479
    Abstract: A system for scoring micro-blogging messages is provided, including an extractor, and evaluator, a calculator, and a publisher. The extractor may be configured to receive micro-blogging messages, to detect messages containing terms of interest, to extract raw data, and to store the data in a database. The evaluator may be configured to access and parse the stored data into tokenized data, and to store the tokenized data in a database. The evaluator may also be configured to identify relevant micro-blogging messages; to tag message as indicative; and to filter messages from low-volume or malicious sources before being tagged as indicative. The calculator may be configured to access a sentiment dictionary; to calculate a sentiment score of the tokenized data, and to calculate a sentiment signature for a term of interest. The publisher may be configured to provide access to clients of the system.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: November 24, 2020
    Assignee: SOCIAL MARKET ANALYTICS, INC.
    Inventors: Jeffrey G. Blaschak, Aleksey Blinov, Joseph A Gits, IV, Fady Harfoush, Kurt Myers
  • Systems and methods of detecting, measuring, and extracting signatures of signals embedded in social media data streams
    Patent number: 10031909
    Abstract: A system for scoring micro-blogging messages is provided, including an extractor, and evaluator, a calculator, and a publisher. The extractor may be configured to receive micro-blogging messages, to detect messages containing terms of interest, to extract raw data, and to store the data in a database. The evaluator may be configured to access and parse the stored data into tokenized data, and to store the tokenized data in a database. The evaluator may also be configured to identify relevant micro-blogging messages; to tag message as indicative; and to filter messages from low-volume or malicious sources before being tagged as indicative. The calculator may be configured to access a sentiment dictionary; to calculate a sentiment score of the tokenized data, and to calculate a sentiment signature for a term of interest. The publisher may be configured to provide access to clients of the system.
    Type: Grant
    Filed: May 19, 2015
    Date of Patent: July 24, 2018
    Assignee: Social Market Analytics, Inc.
    Inventors: Jeffrey G. Blaschak, Aleksey Blinov, Joseph A. Gits, Fady Harfoush, Kurt Myers
  • Systems and methods of detecting, measuring, and extracting signatures of signals embedded in social media data streams
    Patent number: 9104734
    Abstract: A system for scoring micro-blogging messages is provided, including an extractor, and evaluator, a calculator, and a publisher. The extractor may be configured to receive micro-blogging messages, to detect messages containing terms of interest, to extract raw data, and to store the data in a database. The evaluator may be configured to access and parse the stored data into tokenized data, and to store the tokenized data in a database. The evaluator may also be configured to identify relevant micro-blogging messages; to tag message as indicative; and to filter messages from low-volume or malicious sources before being tagged as indicative. The calculator may be configured to access a sentiment dictionary; to calculate a sentiment score of the tokenized data, and to calculate a sentiment signature for a term of interest. The publisher may be configured to provide access to clients of the system.
    Type: Grant
    Filed: February 7, 2013
    Date of Patent: August 11, 2015
    Assignee: Social Market Analytics, Inc.
    Inventors: Jeffrey G. Blaschak, Aleksey Blinov, Joseph A. Gits, IV, Fady Harfoush, Kurt Myers
  • Systems And Methods of Detecting, Measuring, And Extracting Signatures of Signals Embedded in Social Media Data Streams
    Publication number: 20130204882
    Abstract: A system for scoring micro-blogging messages is provided, including an extractor, and evaluator, a calculator, and a publisher. The extractor may be configured to receive micro-blogging messages, to detect messages containing terms of interest, to extract raw data, and to store the data in a database. The evaluator may be configured to access and parse the stored data into tokenized data, and to store the tokenized data in a database. The evaluator may also be configured to identify relevant micro-blogging messages; to tag message as indicative; and to filter messages from low-volume or malicious sources before being tagged as indicative. The calculator may be configured to access a sentiment dictionary; to calculate a sentiment score of the tokenized data, and to calculate a sentiment signature for a term of interest. The publisher may be configured to provide access to clients of the system.
    Type: Application
    Filed: February 7, 2013
    Publication date: August 8, 2013
    Applicant: Social Market Analytics, Inc.
    Inventor: Social Market Analytics, Inc.