TEXT DATA SENTIMENT ANALYSIS METHOD

• US 20150278195A1
• Filed: 10/08/2014
• Published: 10/01/2015
• Est. Priority Date: 03/31/2014
• Status: Abandoned Application

• Current Assignee: ABBYY Production LLC (ABBYY Software)
• Original Assignee: ABBYY InfoPoisk LLC
• Inventors: Yang, David Yevgenievich, Tyurin, Anton Yevgenievich, Mikhaylov, Maksim Borisovich, Danielyan, Tatiana Vladimirovna, Lokotilova, Olga Vladimirovna
• Application Number:
  US14/509,311
• Publication Number:
  US 20150278195A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

A method and system for text data analysis by performing deep syntactic and semantic analysis of text data and extracting entities and facts from the text data based on the results of deep syntactic and semantic analysis, including extraction of sentiments using a sentiment lexicon constructed upon a semantic hierarchy. The data analysis can include determining sign of the extracted sentiment, aggregate function of the text data, analyzing social mood, and classifying the text data.

Claims

1. A method of text data analysis, including:

obtaining text data;

performing deep syntactic and semantic analysis of text data;

extracting entities and facts from text data based on the results of deep syntactic and semantic analysis, including

extraction of sentiments using a sentiment lexicon constructed upon a semantic hierarchy.

2. The method of claim 1, further including the step of determining the sign of the extracted sentiments.

3. The method of claim 1, further including the step of determining the aggregate function of text data.

4. The method of claim 1, further including the step of identifying social networks based on the extracted entities and facts.

5. The method of claim 1, further including the step of identifying topics based on the extracted entities and facts.

6. The method of claim 1, further including the step of analyzing the social mood based on the extracted sentiments.

7. The method of claim 1, further including the step of classifying text data based on the extracted sentiments.

9. The system of claim 7, further including the step of determining the sign of the extracted sentiments.

10. The system of claim 7, further including the step of determining the aggregate function of text data.

11. The system of claim 7, further including the step of identifying social networks based on the extracted entities and facts.

12. The system of claim 7, further including the step of identifying topics based on the extracted entities and facts.

13. The system of claim 7, further including the step of analyzing the social mood based on the extracted sentiments.

14. The system of claim 7, further including the step of classifying text data based on the extracted sentiments.

16. The non-volatile machine-readable information storage medium of claim 13, further including the step of determining the sign of the extracted sentiments.

17. The non-volatile machine-readable information storage medium of claim 13, further including the step of determining the aggregate function of text data.

18. The non-volatile machine-readable information storage medium of claim 13, further including the step of identifying social networks based on the extracted entities and facts.

19. The non-volatile machine-readable information storage medium of claim 13, further including the step of identifying topics based on the extracted entities and facts.

20. The non-volatile machine-readable information storage medium of claim 13, further including the step of analyzing the social mood based on the extracted sentiments.

21. The non-volatile machine-readable information storage medium of claim 13, further including the step of classifying text data based on the extracted sentiments.

8. A system of text data analysis, including:

one or more processors adjusted for;

obtaining text data;

performing deep syntactic and semantic analysis of text data;

extracting entities and facts from text data based on the results of deep syntactic and semantic analysis, including

extraction of sentiments using a sentiment lexicon constructed upon a semantic hierarchy.

15. A non-volatile machine-readable information storage medium containing the following instructions:

obtaining text data;

performing deep syntactic and semantic analysis of text data;

extracting entities and facts from text data based on the results of deep syntactic and semantic analysis, including

extraction of sentiments using a sentiment lexicon constructed upon a semantic hierarchy.