COGNITIVE MATCHING OF NARRATIVE DATA

• US 20160132488A1
• Filed: 03/18/2015
• Published: 05/12/2016
• Est. Priority Date: 11/10/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Clark, Adam T., Huebert, Jeffrey K., Payton, Aspen L., Petri, John E.
• Granted Patent: US 10,572,590 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

A cognitive matching of narrative data mechanism may include a collecting module configured to collect a set of data for a party and a determining module configured to determine, by analyzing the set of data, an identifiable event for the party. The mechanism may include may also include an identifying module configured to identify, using the identifiable event, a relevant feature of a corpus, and a providing module configured to provide an output corresponding to the relevant feature.

Claims

1. A computer system, comprising:

at least one processor;

a memory coupled to the at least one processor;

a cognitive matching of narrative data mechanism executed by one or more of the at least one processor, the cognitive matching of narrative data mechanism including;

a collecting module configured to collect a set of data for a party;

a determining module configured to determine, by analyzing the set of data, an identifiable event for the party;

an identifying module configured to identify, using the identifiable event, a relevant feature of a corpus; and

a providing module configured to provide an output corresponding to the relevant feature.

2. The system of claim 1, wherein collecting the set of data for the user includes aggregating user generated data selected from a group consisting of:

a web page, a user profile, a user status, a comment, or a blog.

3. The system of claim 1, further comprising:

an extracting module configured to extract metadata from the set of data;

a determining module configured to determine, based on the metadata of the set of data, a prominence factor of the set of data; and

an ascertaining module configured to ascertain that the prominence factor of the set of data achieves a prominence criterion.

4. The system of claim 3, further comprising:

a parsing module configured to parse, using a natural language processing technique configured to analyze semantic and syntactic content, unstructured data of the set of data;

an identifying module configured to identify, from the unstructured data of the set of data, a set of story elements;

an extracting module configured to extract, using the natural language processing technique, a sentiment feature coupled with the set of story elements; and

an establishing module configured to establish, using the set of story elements and the sentiment feature, a framework component.

5. The system of claim 1, further comprising:

a comparing module configured to compare a framework component to narrative content of a narrative content database; and

a determining module configured to determine, based on a set of story elements and a sentiment feature of the framework component and a set of ontological relationships of the narrative content, the relevant feature corresponding to the identifiable event.

6. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a first computing device, causes the computing device to:

collect a set of data for a party;

determine, by analyzing the set of data, an identifiable event for the party;

identify, using the identifiable event, a relevant feature of a corpus; and

provide an output corresponding to the relevant feature.

7. The computer program product of claim 6, wherein collecting the set of data for the user includes aggregating user generated data selected from a group consisting of:

a web page, a user profile, a user status, a comment, or a blog.

8. The computer program product of claim 6, wherein the corpus includes a narrative content database having one or more types of narrative content selected from a group consisting of:

literature data, film data, television data, audio data, and electronic game data.

9. The computer program product of claim 6, further comprising computer readable program code configured to:

extract metadata from the set of data;

determine, based on the metadata of the set of data, a prominence factor of the set of data; and

ascertain that the prominence factor of the set of data achieves a prominence criterion;

parse, using a natural language processing technique configured to analyze semantic and syntactic content, unstructured data of the set of data;

identify, from the unstructured data of the set of data, a set of story elements;

extract, using the natural language processing technique, a sentiment feature coupled with the set of story elements; and

establish, using the set of story elements and the sentiment feature, a framework component.

10. The computer program product of claim 6, further comprising computer readable program code configured to:

compare a framework component to narrative content of a narrative content database; and

determine, based on a set of story elements and a sentiment feature of the framework component and a set of ontological relationships of the narrative content, the relevant feature corresponding to the identifiable event.