Method and system for the recognition and tracking of entities as they become famous
A system and method for recognizing an entity rising in public awareness and tracking the growth of such awareness through the automated analysis and collection of quantitative and contextual frame-related data, and for presenting an objective measurement to one or more users of such system. A first portion of the invention is directed toward initial recognition of an entity wherein the system detects proper nouns of a person, place, or thing using natural language algorithms to detect patterns. A second portion of the invention is directed toward detection of popularity lift wherein the system uses a variety of methods to detect popularity lift, including frequency of mentions in RSS feeds, search engine reporting, and various user inputs such as user-generated content, data available in various social media forums, and Internet usage patterns.
1 . A computer implemented method of identifying an entity and tracking its progress of frame, comprising the steps of:
establishing a relational database for holding information about a plurality of entities, said information being arranged in a plurality of tables in the database, wherein such information is obtained from stories that contains entity related news and information gathered by a data generation process;
gathering one or more stories from a plurality of sources;
parsing the stories to determine specific indicators of one or more entities;
storing said stories in said relational database with appropriate tags to enable retrieval by a user of the database;
wherein such information contains data selected from the group consisting of:
name;
gender;
age;
location; and
type of entity
said database including many to many mapping between the identification of the entity to the type of entity and many to many mapping between the identification of the entity to the stories;
providing a quantification engine having software for use in a computer processor adapted to execute said software, said quantification engine
determining confidence metrics including determining frequency of occurrence of an entity identifier, and
tracking changes in frequency of occurrence of an entity identifier; and presenting a summary for viewing by said user.
2 . The method of claim 1 , wherein said method is performed for a plurality of entities.
3 . The method of claim 1 , wherein said method is performed for a plurality of types of entities.
4 . The method of claim 1 , wherein said stories are gathered over a global communication network.
5 . The method of claim 1 , wherein the step of parsing the stories further comprises the steps of:
tagging each story based on date, title, and abstract information;
matching patterns in the stories to a predetermined list of known entities;
identifying entity names using domain specific terminology;
identifying keywords in the story indicative of information about the entity.
6 . The method of claim 1 , wherein an entity is selected for consideration for tracking when each word in a tuple begins with a capital letter.
7 . The method of claim 1 , wherein the confidence metric is established by measuring the frequency of occurrence of identified terms in the stories.
8 . The method of claim 1 , further comprising the steps of:
determining a change in the frequency of occurrence of an entity name over a selected period of time.
9 . The method of claim 8 , wherein said selected period of time is daily, weekly, monthly and/or yearly.
10 . The method of claim 1 , further comprising:
using said computer processor to calculate score ranking for one or more entities on a daily, weekly, and/or monthly basis.