METHOD, COMPUTER-READABLE STORAGE DEVICE, AND APPARATUS FOR ANALYZING TEXT MESSAGES

• US 20150142510A1
• Filed: 11/20/2013
• Published: 05/21/2015
• Est. Priority Date: 11/20/2013
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Bodden, Christopher David
• Granted Patent: US 10,453,079 B2
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H04W 4/14 Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]

Abstract

A method, computer-readable storage device and apparatus for analyzing text messages are disclosed. For example, the method receives the text messages, tokenizes each one of the text messages to extract a token, identifies the token as trending, wherein trending comprises the token having a frequency above a threshold, classifies a sentiment for each one of the text messages having the token that is identified as trending, identifies a demographic for the sentiment of the token that is trending, and provides the demographic and the sentiment of the token that is trending to a third party entity associated with the token.

Claims

1. A method for analyzing text messages, comprising:

receiving, by a processor, the text messages;

tokenizing, by the processor, each one of the text messages to extract a token;

identifying, by the processor, the token as trending, wherein trending comprises the token having a frequency above a threshold;

classifying, by the processor, a sentiment for each one of the text messages having the token that is identified as trending;

identifying, by the processor, a demographic for the sentiment of the token that is trending; and

providing, by the processor, the demographic and the sentiment of the token that is trending to a third party entity associated with the token.

2. The method of claim 1, further comprising:

removing, by the processor, all information related to an identity of each subscriber associated with each one of the text messages.

3. The method of claim 1, wherein the tokenizing comprises:

applying, by the processor, a natural language processor to identify a potential token in each of the text messages; and

comparing, by the processor, the potential token to a pre-defined library to confirm that the potential token is the token.

4. The method of claim 1, wherein the sentiment comprises a positive sentiment.

5. The method of claim 1, wherein the sentiment comprises a negative sentiment.

6. The method of claim 1, wherein the sentiment comprises an overall sentiment of the trending based upon a comparison of a percentage of positive sentiments versus a percentage of negative sentiments of the text messages.

7. The method of claim 1, wherein the sentiment is classified using a naive bayes classifier.

8. The method of claim 1, wherein the demographic comprises a relationship between a sender and a recipient of each one of the text messages.

9. The method of claim 8, wherein the relationship is identified based upon a group subscription plan subscribed to by the sender and the recipient.

10. The method of claim 9, wherein the group subscription plan comprises a family plan.

11. The method of claim 9, wherein the group subscription plan comprises a corporate plan.

12. The method of claim 1, wherein the third party entity pays for a subscription to be provided with the demographic and the sentiment of the token that is trending.

13. A computer-readable storage device storing a plurality of instructions which, when executed by a processor, cause the processor to perform operations for analyzing text messages, the operations comprising:

receiving the text messages;

tokenizing each one of the text messages to extract a token;

identifying the token as trending, wherein trending comprises the token having a frequency above a threshold;

classifying a sentiment for each one of the text messages having the token that is identified as trending;

identifying a demographic for the sentiment of the token that is trending; and

providing the demographic and the sentiment of the token that is trending to a third party entity associated with the token.

14. The computer-readable storage device of claim 13, further comprising:

removing all information related to an identity of each subscriber associated with each one of the text messages.

15. The computer-readable storage device of claim 13, wherein the tokenizing comprises:

applying a natural language processor to identify a potential token in each of the text messages; and

comparing the potential token to a pre-defined library to confirm that the potential token is the token.

16. The computer-readable storage device of claim 13, wherein the sentiment comprises an overall sentiment of the trending based upon a comparison of a percentage of positive sentiments versus a percentage of negative sentiments of the text messages.

17. The computer-readable storage device of claim 13, wherein the demographic comprises a relationship between a sender and a recipient of each one of the text messages.

18. The computer-readable storage device of claim 17, wherein the relationship is identified based upon a group subscription plan subscribed to by the sender and the recipient.

19. The computer-readable storage device of claim 13, wherein the third party entity pays for a subscription to be provided with the demographic and the sentiment of the token that is trending.

20. An apparatus for analyzing text messages, comprising:

a processor; and

a computer-readable storage device storing a plurality of instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising;

receiving the text messages;

tokenizing each one of the text messages to extract a token;

identifying the token as trending, wherein trending comprises the token having a frequency above a threshold;

classifying a sentiment for each one of the text messages having the token that is identified as trending;

identifying a demographic for the sentiment of the token that is trending; and

providing the demographic and the sentiment of the token that is trending to a third party entity associated with the token.