Data processing system for managing activities linked to multimedia content

• US 10,402,918 B2
• Filed: 05/24/2018
• Issued: 09/03/2019
• Est. Priority Date: 06/10/2016
• Status: Active Grant

• Current Assignee: RALI Solutions LLC
• Original Assignee: Understory, LLC
• Inventors: Benfield, Steve, Aslami, Ahmad, Jones, Taylor, Cutrell, Jonathan, Dolan, Taylor, Kimball, Andrew, Mills, Chad
• Primary Examiner(s): Jacob, Ajith
• Application Number:
  US15/988,878
• Publication Number:
  US 20180268501A1
• Time in Patent Office: 467 Days
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/43 Querying
• CPC Class Codes: G06F 16/44 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/783 using metadata automatically derived from the content
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H05K 999/00 dummy group
• CPC Class Codes: H05K 999/99 dummy group

Abstract

An activity management system is configured to allow users to access multimedia content where the multimedia content is divided in to segments. While a user is viewing or interacting with the multimedia content, the user can submit one or more activities (e.g., comments, questions, replies, or reactions) using a graphical user interface. The system is operable to electronically link the activity provided by the user with the particular segment of multimedia content in which the activity was captured by the system. The system is also configured to determine a sentiment score for particular multimedia content, one or more segments of the particular multimedia content, a user, a group of users, or an organization. The sentiment score may be related to a general mood (e.g., confused, happy, bored) of the user when viewing one or more segments of particular multimedia content.

Claims

1. An electronic data processing system for electronically managing a conversation that is linked to one or more segments of multimedia content that is divided into a plurality of segments, and for analyzing activities that make up the conversation, comprising:

one or more processors;

one or more databases coupled to the one or more processors;

a plurality of electronic data records stored in the one or more databases, each one of the plurality of electronic data records corresponding to an activity submitted by a viewer and comprising an identifier for the multimedia content, an identifier for the viewer who submitted the activity, and one or more data fields selected from a group consisting of;

text contained in the activity;

a length of the activity;

a number of words contained in the activity;

a reaction type;

a reply count;

an activity count;

a question flag;

an answer flag;

an activity type; and

an identifier for a related activity that is linked to the activity;

wherein the one or more processors are configured for;

selecting one or more of the plurality of electronic data records for the particular multimedia content;

determining the type of activity contained in each one of the one or more selected electronic data records, wherein the type of activity is selected from a group consisting of;

a predefined text activity that the viewer selected while viewing the particular multimedia content;

a reaction that the viewer selected while viewing the particular multimedia content, and

a custom text entry that is entered by the viewer in response to the subject matter of the particular multimedia content or to an activity submitted by another viewer,

at least partially in response to determining the type of activity contained in each one of the one or more selected electronic data records, calculating a scoring value for each determined activity type, wherein;

 

each predefined text activity is assigned a corresponding predefined scoring value;

 

each type of reaction from the plurality of reactions has a corresponding predefined scoring value, and

 

each custom text entry is passed through a sentiment filter to determine a scoring value at least partially based on the contents of the custom text; and

calculating a facilitator score for a facilitator of the multimedia content based at least in part on the scoring value.

2. The electronic data processing system of claim 1, wherein calculating the facilitator score comprises calculating the facilitator score based at least in part on a number of activities that make up the conversation.

3. The electronic data processing system of claim 1, wherein calculating the facilitator score for the facilitator of the multimedia content comprises calculating the facilitator score based at least in part on the one or more data fields.

4. The electronic data processing system of claim 3, wherein:

the one or more data fields comprise the activity count; and

calculating the facilitator score further comprises the facilitator score based at least in part on the activity count.

5. The electronic data processing system of claim 4, wherein:

the one or more data fields further comprise the reply count; and

calculating the facilitator score further comprises the facilitator score based at least in part on the reply count.

6. The electronic data processing system of claim 1, wherein the one or more processors are further configured for:

selecting one or more processed activities from one or more activities submitted by one or more viewers of the multimedia content that correspond to the plurality of electronic data records;

generating a sentiment value for each one of the one or more processed activities; and

 

transforming the sentiment values for the one or more processed activities into at least one viewer sentiment score, wherein;

calculating the facilitator score is further based at least in part on the at least one viewer sentiment score.

7. The electronic data processing system of claim 6, wherein the step of generating a sentiment value for each one of the one or more processed activities further comprises:

evaluating each particular one of the one or more processed activities to determine the type of activity contained therein, wherein the type of activity is selected from a group consisting of;

a predefined text activity that a particular viewer can select via the first graphical user interface;

a plurality of reactions that the particular viewer can select from via a graphical user interface when viewing the multimedia content, and

a custom text entry that is entered by the particular viewer via the graphical user interface in response to the content of the multimedia content or to an activity submitted by another viewer; and

calculating a sentiment value for each activity type, wherein;

each predefined text activity is assigned a corresponding predefined sentiment value;

each type of reaction from the plurality of reactions has a corresponding predefined sentiment value, and

each custom text activity is passed through a sentiment filter that determines a sentiment value based on the contents of the custom text.

8. A computer-implemented data processing method of providing one or more activities to subsequent viewers of a piece of multimedia in a time-shifted manner according to an activity map, and for electronically analyzing the one or more activities, the method comprising:

identifying, by one or more activity management servers, a plurality of segments that make up a piece of multimedia;

receiving, by the one or more activity management servers, a plurality of activities from one or more users prior to a first time, wherein each particular activity of the plurality of activities is associated with a respective particular segment of the plurality of segments;

generating, by the one or more activity management servers, an activity map for the piece of multimedia based at least in part on the plurality of segments, the activity map indicating;

the association between each particular activity of the plurality of activities and the respective particular segment of the plurality of segments; and

one or more associations between one or more particular activities of the plurality of activities and one or more other activities of the plurality of activities;

analyzing the plurality of activities to determine one or more of;

a total number of activities submitted by the one or more users for the piece multimedia; and

a total number of activities submitted by each respective user of the one or more users;

determining a facilitator score for a facilitator of the piece of multimedia based on one or more of;

the total number of activities submitted by the one or more users for the piece multimedia; and

the total number of activities submitted by each respective user of the one or more users.

9. The computer-implemented data processing method of claim 8, the method further comprising:

analyzing the plurality of activities to determine a total number of activities submitted by the one or more users that include a question;

analyzing the plurality of activities to determine a number of the plurality of activities that include a question that have an associated activity that includes a response to the question and;

determining the facilitator score based on the number of the plurality of activities that include a question that have an associated activity that includes a response to the question.

10. The computer-implemented data processing method of claim 8, the method further comprising:

determining from the plurality of electronic data records, a number of times the facilitator reviewed the multimedia content.

11. The computer-implemented data processing method of claim 10, wherein calculating the facilitator score is further based at least in part on the number of times the facilitator reviewed the multimedia content.

12. The computer-implemented data processing method of claim 8, wherein the plurality of activities comprise at least one answer submitted by the facilitator to at least one question submitted by a viewer of the multimedia content.

13. The computer-implemented data processing method of claim 12, wherein calculating the facilitator score is further based at least in part on the at least one answer.

14. The computer-implemented data processing method of claim 8, the method further comprising:

generating a sentiment value for each of the plurality of activities; and

transforming the sentiment values for each of the plurality of activities into at least one viewer sentiment score, wherein;

calculating the facilitator score is further based at least in part on the at least one viewer sentiment score.

15. The computer-implemented data processing method of claim 14, wherein each of the plurality of activities has an activity type selected from the group consisting of:

a predefined text activity that a particular viewer can select via the first graphical user interface;

a plurality of reactions that the particular viewer can select from via a graphical user interface when viewing the multimedia content, and

a custom text entry that is entered by the particular viewer via the graphical user interface in response to the content of the multimedia content or to an activity submitted by another viewer.

16. The computer-implemented data processing method of claim 15, wherein generating the sentiment value for each of the plurality of activities further comprises calculating the sentiment value for each activity type, wherein:

each predefined text activity is assigned a corresponding predefined sentiment value;

each type of reaction from the plurality of reactions has a corresponding predefined sentiment value, and

each custom text activity is passed through a sentiment filter that determines a sentiment value based on the contents of the custom text.

17. The computer-implemented data processing method of claim 8, the method further comprising:

analyzing the plurality of activities to determine a total number of activities submitted by facilitator that include a response to one or more of the plurality of activities, wherein determining the facilitator score is further based on the total number of activities submitted by facilitator that include a response to one or more of the plurality of activities.

18. The computer-implemented data processing method of claim 8, wherein the method further comprises:

measuring a total number of words in each of the plurality of activities submitted by the facilitator; and

calculating the facilitator score is further based at least in part on total number of words in each of the plurality of activities submitted by the facilitator.