INTELLIGENT CONTENT ANALYSIS AND CREATION

• US 20160133148A1
• Filed: 10/29/2015
• Published: 05/12/2016
• Est. Priority Date: 11/06/2014
• Status: Abandoned Application

• Current Assignee: PrepFlash LLC
• Original Assignee: PrepFlash LLC
• Inventors: Hanks, John Phillip, Yu, Peter Huan, Chen, Vincent Chun-Wen, Liao, Ying-Po
• Application Number:
  US14/926,991
• Publication Number:
  US 20160133148A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G09B 7/06 of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers

Abstract

A computer system for intelligently parsing digital content and generating questions based upon the digital content can be configured to receive a digitally encoded file. The system can extract text content from the digitally encoded file. The system can then process the text content through an intelligent text analysis process. The intelligent text analysis process can identify key phrases within the digital content. The system can generate a question based upon a particular key phrase by manipulating a portion of the extracted text content. Further, the system can display, on a display device, the generated question.

Claims

1. A computer system for intelligently parsing digital content and generating questions based upon the digital content comprising:

one or more processors; and

one or more computer readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform at least the following;

receive a digitally encoded file, wherein the digitally encoded file comprises a known information media type;

extract text content from the digitally encoded file;

process the text content through an intelligent text analysis process, wherein the intelligent text analysis process identifies key phrases within the digital content;

generate a question based upon a particular key phrase by manipulating a portion of the extracted text content; and

display, on a display device, the generated question.

2. The computer system as recited in claim 1, wherein receiving a digitally encoded file comprises:

receiving a video file;

accessing the closed captions within the video file; and

parse the text within the closed captions.

3. The computer system as recited in claim 2, wherein the video file comprises receiving a video file stream.

4. The computer system as recited in claim 2, the computer-readable media comprising computer-executable instructions that when executed by the one or more processors further configure the computer system to perform at least the following:

receive an indication that a user has stopped or paused the video file; and

upon receiving the indication, display the generated question.

5. The computer system as recited in claim 1, the computer-readable media comprising computer-executable instructions that when executed by the one or more processors further configure the computer system to perform at least the following:

calculate the frequency that key phrases appear within one or more portions of the digital content;

calculate ranks for the one or more portions of the digital content, wherein the ranks are determined by the number of key phrases within each respective portion;

identify a particular portion of the one or more portions based upon the rank of the particular portion;

identify a particular key phrase within the particular portion; and

generate the question based upon the key phrase and the particular portion.

6. The computer system as recited in claim 1, wherein generating a question comprises:

searching for the particular key phrase within a decoy graph database;

identifying one or more decoy key phrases that are related to the particular key phrase;

determining a commonality indicator for each of the decoy key phrases compared to the particular key phrase;

selecting a set of the decoy key phrases with the highest respective commonality indicators; and

displaying, on the display device, the set of decoy key phrases as potential answers to the generated question.

7. The computer system as recited in claim 1, wherein generating a question comprises:

searching for the particular key phrase within a decoy graph database;

determining that the particular key phrase is not present within the decoy graph database;

searching unstructured digital data for the particular key phrase;

identifying one or more particular sources within the unstructured digital data that comprise the particular key phrase;

identifying, within the one or more particular sources, potential decoy key phrases;

calculate ranks for the potential decoy key phrases; and

displaying, on the display device, a set of the potential decoy key phrases based upon high ranks.

8. The computer system as recited in claim 7, wherein calculating ranks for the potential decoy key phrases comprises:

searching the unstructured digital data for a potential decoy key phrase;

identifying one or more decoy sources within the unstructured digital data that describe the potential decoy key phrase;

identifying, within the one or more decoy sources, secondary key phrases; and

calculate a rank for the potential decoy key phrase based upon the number of secondary key phrases that are common between the one or more decoy sources and the one or more particular sources.

9. The computer system as recited in claim 1, wherein receiving a digitally encoded file comprises:

receiving an image file; and

processing the image file through an optical character recognition process.

10. At a computer system including one or more processors and system memory, a method for intelligently parsing digital content and generating questions based upon the digital content, the comprising:

receiving a digitally encoded file, wherein the digitally encoded file comprises a known information media type;

extracting text content from the digitally encoded file;

processing the text content through an intelligent text analysis process, wherein the intelligent text analysis process identifies key phrases within the digital content;

generating a question and one or more answers based upon a particular key phrase; and

displaying, on a display device, the generated question.

11. The method as recited in claim 10, further comprising:

storing the particular key phrase to a previous-question database;

receiving an indication to generate a second question based upon the text content from received digitally encoded file;

identifying a next-question key phrase within the text content;

verifying that the next-question key phrase is not present within the previous-question database; and

generating a second question based upon the next-question key phrase.

12. The method as recited in claim 10, wherein generating the question and the one or more answers comprises:

identifying a portion of the text content that comprises the particular key phrase; and

generating the question by manipulating the portion of the text content.

13. The method as recited in claim 12, wherein generating the question and the one or more answers further comprises:

substituting the particular key phrase within the portion of the text content with a decoy key phrase selected from a decoy generator; and

generating a true or false question with the substituted decoy key phrase.

14. The method as recited in claim 12, wherein generating the question and the one or more answers further comprises:

removing the particular key phrase within the portion of the text content;

selecting a set of decoy phrases from a decoy generator; and

generating a multiple choice question that comprises as possible answers the set of decoy phrases and the particular key phrase.

15. The method as recited in claim 12, wherein generating the question and the one or more answers further comprises:

removing the particular key phrase within the portion of the text content; and

generating a fill-in-the-blank question, wherein the particular key phrase is stored for verification against a user-submitted answer.

16. The method as recited in claim 10, further comprising:

calculating the frequency that key phrases appear within one or more portions of the digital content;

calculating ranks for the one or more portions of the digital content, wherein the ranks are determined by the number of key phrases within each respective portion;

identifying a particular portion of the one or more portions based upon the rank of the particular portion;

identifying a particular key phrase within the particular portion; and

generating the question based upon the key phrase and the particular portion.

17. The method as recited in claim 10, wherein generating the question and the one or more answers comprises:

searching for the particular key phrase within a decoy generator;

identifying one or more decoy key phrases that are related to the particular key phrase;

determining a commonality indicator for each of the decoy key phrases compared to the particular key phrase;

selecting a set of the decoy key phrases with the highest respective commonality indicators; and

displaying, on the display device, the set of decoy key phrases as potential answers to the generated question.

18. The method as recited in claim 10, wherein generating the question and the one or more answers comprises:

searching for the particular key phrase within a decoy graph database;

determining that the particular key phrase is not present within the decoy graph database;

searching unstructured digital data for the particular key phrase;

identifying one or more particular sources within the unstructured digital data that comprise the particular key phrase;

identifying, within the one or more particular sources, potential decoy key phrases;

calculate ranks for the potential decoy key phrases; and

displaying, on the display device, a set of the potential decoy key phrases based upon high ranks.

19. The method as recited in claim 18, wherein calculating ranks for the potential decoy key phrases comprises:

searching the unstructured digital data for a potential decoy key phrase;

identifying one or more decoy sources within the unstructured digital data that describe the potential decoy key phrase;

identifying, within the one or more decoy sources, secondary key phrases; and

calculate a rank for the potential decoy key phrase based upon the number of secondary key phrases that are common between the one or more decoy sources and the one or more particular sources.

20. A computer system for intelligently parsing digital content and generating questions based upon the digital content comprising:

one or more processors; and

one or more computer readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform at least the following;

receive a digitally encoded file;

extract text content from the digitally encoded file;

process the text content through an intelligent text analysis process, wherein the intelligent text analysis process identifies key phrases within the digital content;

generate a set of decoy answers by processing a particular key phrase through a decoy generator;

generate a question based upon the particular key phrase by manipulating a portion of the extracted text content; and

display, on a display device, the generated question and the set of decoy answers.