Invention Grant
- Patent Title: System and method for analyzing popularity of one or more user defined topics among the big data
-
Application No.: US15251543Application Date: 2016-08-30
-
Publication No.: US10067964B2Publication Date: 2018-09-04
- Inventor: John L. Haller, Jr.
- Applicant: John L. Haller, Jr.
- Agency: Gordon Rees Scully Mansukhani LLP
- Agent David R. Heckadon
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A method to analyze popularity of user defined topics by identifying correlations between grams contained in user identified anchor documents and the grams contained in raw documents is provided. The method includes following steps: (a) a user input data that includes (i) user identified topics for user identified subject matter, (ii) user identified topical anchor documents, and (iii) a plurality of user identified raw documents internet source with respective source addresses; (b) the raw document sources is accessed using the source addresses to retrieve and store data in a database; (c) grams and gram document dictionaries together with gram values for each topical anchor document and raw document are identified and stored; and (d) the grams in each of the topical anchor documents against the grams in all the raw documents are analyzed to determine a relative popularity of the topical anchor documents.
Public/Granted literature
- US20170075896A1 SYSTEM AND METHOD FOR ANALYZING POPULARITY OF ONE OR MORE USER DEFINED TOPICS AMONG THE BIG DATA Public/Granted day:2017-03-16
Information query