SYSTEM AND METHOD FOR DETERMINING SENTIMENT FROM TEXT CONTENT

• US 20120278064A1
• Filed: 04/29/2011
• Published: 11/01/2012
• Est. Priority Date: 04/29/2011
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Original Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Inventors: LEARY, Adam, Pennie, Philip
• Granted Patent: US 8,838,438 B2
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique

Abstract

A system and method for determining sentiment from user-generated text content is provided. A sentiment score is determined for one or more terms in a user-generated text content. A sentiment value is determined for the text content that is based at least in part on the sentiment score for the one or more terms.

Claims

1. A method for determining sentiment from user-generated text content, the method being performed by one or more processors and comprising:

determining a subject of a user-generated text content;

determining a sentiment value for the user-generated text content; and

associating the sentiment value with the subject.

2. The method of claim 1, wherein determining the sentiment value includes determining a sentiment score for one or more terms in the user-generated text content, the sentiment value being based on the sentiment score for the one or more terms.

3. The method of claim 1, wherein the subject corresponds to a business establishment.

4. The method of claim 1, further wherein the sentiment value is associated with a particular sentiment category.

5. The method of claim 1, wherein determining the sentiment value includes determining a category-specific sentiment value for each of multiple sentiment categories.

6. The method of claim 1, wherein the sentiment value is mapped to one or more of multiple types of sentiments.

7. The method of claim 6, wherein the multiple types of sentiment include two or more of disgust, sadness, anger, fear or happiness.

8. The method of claim 6, wherein the sentiment value is mapped to an intensity of a corresponding sentiment.

9. The method of claim 1, wherein the sentiment value correlates to a single sentiment.

10. The method of claim 2, wherein the sentiment score for the one or more terms is predetermined.

11. The method of claim 1, further comprising presenting content that is based on the user-generated text content, the content including a feature that is informative of the sentiment value that is determined for the user-generated text content.

12. The method of claim 1, wherein the user-generated text content corresponds to a user feedback of a business establishment or product, and wherein the sentiment value corresponds to a sentiment of the user'"'"'s experience for the business establishment or product.

13. The method of claim 12, wherein the sentiment value indicates whether the user'"'"'s experience with the business establishment or product was positive or negative.

14. The method of claim 12, wherein the sentiment value indicates an intensity of the user'"'"'s sentiment with the business establishment.

15. The method of claim 12, wherein the business establishment or product corresponds to a restaurant or food item.

16. A system for determining sentiment from user-generated text content, the system comprising:

one or more processors that are configured to provide;

a sentiment analysis component that is configured to analyze a user-generated text content, including determining (i) a subject of the user-generated text content, (ii) a sentiment score for individual terms that are present in text content, and (ii) a sentiment value for the text content based at least in part on the determined sentiment score for the individual terms; and

wherein the sentiment analysis component is configured to associate the sentiment value with the subject.

17. The system of claim 16, further comprising:

a data store that stores data that is based on the sentiment value in association with the determined subject.

18. The system of claim 16, further comprising a term-sentiment data store that stores the sentiment score for a list of terms.

19. The system of claim 16, wherein the one or more processors are configured to provide:

a term extraction component which identifies one or more terms that are salient to a domain of the subject for text content that is user-generated.

20. The system of claim 16, wherein the subject corresponds to a business establishment or product.

21. The system of claim 16, wherein the subject corresponds to a restaurant or food item.

22. The system of claim 19, wherein the sentiment score is for a sentiment that indicates intensity for a user'"'"'s like or dislike for the subject of the text content.

23. A method for determining sentiment from user-generated text content, the method being performed by one or more processors and comprising:

determining one or more subject terms and/or domain category terms in a user-generated text content;

determining one or more sentiment terms in the user-generated text content;

determining a relevancy of each of the one or more sentiment terms to the one or more subject terms and/or the domain category terms;

determining a sentiment score for each of the sentiment terms; and

determining a sentiment value for a subject identified by the subject term, the sentiment value of the subject being based on one or more sentiment scores for sentiment terms that are determined to be relevant to the one or more subject terms and/or the one or more domain category terms.

24. A computer-readable medium that stores for determining sentiment from user-generated text content, the instructions being executable by one or more processors for performing steps comprising:

determining a subject of a user-generated text content;

determining a sentiment value for the user-generated text content; and

associating the sentiment value with the subject.