SYSTEMS AND METHODS FOR EXTRACTING ATTRIBUTES FROM TEXT CONTENT

• US 20130144604A1
• Filed: 04/18/2012
• Published: 06/06/2013
• Est. Priority Date: 12/05/2011
• Status: Active Grant

• Current Assignee: Infosys Limited
• Original Assignee: Infosys Limited
• Inventors: Gopinathan, Madhu, Guha, Sarbendu, Basu, Indranil, Menon, Nikhil, Sampige, Tejas Prabhakara
• Granted Patent: US 9,934,218 B2
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Systems and method for extracting attributes from text content are described. Example embodiments may include a computer implemented method for extracting attributes from text data, wherein the text data is obtained from at least one information source. As described, the implementation may include receiving, from a user, an address for the at least one information source and an attribute name, creating a tagged information file by associating a part of speech tag to text data obtained from the at least one information source, identifying a location of the attribute name in the tagged information file using an approximate text matching technique and determining at least one attribute descriptor from the tagged information file wherein the tagged information file is parsed based on a part of speech tag associated with the attribute name to determine a conclusion of the attribute descriptor.

Claims

1. A computer implemented method for extracting one or more attributes from text data wherein the text data is obtained from at least one information source, the method comprising:

receiving, from a user, an address for the at least one information source, and an attribute name;

creating a tagged information file by associating a part of speech tag to text data obtained from the at least one information source;

identifying a location of the attribute name in the tagged information file using an approximate text matching technique; and

determining at least one attribute descriptor from the tagged information file that precedes the attribute and at least one attribute descriptor that succeeds the attribute, wherein the tagged information file is parsed based on a set of associated part of speech tags to determine a conclusion of the at least one attribute descriptor.

2. The method of claim 1, wherein the obtained text data is structured.

3. The method of claim 1, wherein the obtained text data is unstructured.

4. The method of claim 1, wherein the at least one information source is selected from a group comprising a website on the Internet, a text data repository, and text on the Intranet of an organization.

5. The method of claim 1, wherein the method further comprises generating a report comprising the determined at least one attribute descriptor.

6. The method of claim 1, wherein determining the at least one attribute descriptor from the tagged information file that is preceding the attribute name further comprises:

storing at least one first string before the attribute name in the tagged information file when the associated part of speech tag associated with the at least one first string belongs to a first group until at least one second string with the associated part of speech tag belonging to a second group is determined; and

storing the at least one second string with its associated part of speech tag that belongs to the second group as the at least one attribute descriptor until a predefined end condition is met.

7. A system for extracting one or more attributes from text data, wherein the text data is obtained from at least one information source, the system comprising:

a user interface for receiving, from a user, an address for the at least one information source, and an attribute name;

a tag generating module for creating a tagged information file by associating part of speech tags to the text data obtained from the at least one information source;

an identifying module for identifying a location of the attribute name in the tagged information file using an approximate text matching technique; and

a processing module for determining at least one attribute descriptor from the tagged information file that precedes the attribute name and at least one attribute descriptor that succeeds the attribute name, wherein the tagged information file is parsed based on a set of associated part of speech tags to determine a conclusion of the at least one attribute descriptor.

8. The system of claim 7, wherein the received text data is structured.

9. The system of claim 7, wherein the received text data is unstructured.

10. The system of claim 7, wherein the information source is a URL address.

11. The system of claim 7, wherein determining the at least one attribute descriptor from the tagged information file that is preceding the attribute name further comprises:

storing at least one first string before the attribute name in the tagged information file when the associated part of speech tag associated with the at least one first string belongs to a first group until at least one second string with the associated part of speech tag belonging to a second group is determined; and

storing the at least one second string with its associated part of speech tag that belongs to the second group as the at least one attribute descriptor until a predefined end condition is met.

12. The system of claim 11, further comprising generating a report comprising the extracted at least one attribute descriptor.

13. A computer program product comprising a plurality of instructions stored on a non transitory computer readable medium, and comprising program code for extracting one or more attributes from text data, the instruction comprising:

program code adapted for receiving, from a user, an address for the at least one information source, and an attribute name;

program code adapted for creating a tagged information file by associating part of speech tags to the text data obtained from the at least one information source;

program code adapted for identifying location of the attribute name in the tagged information file using approximate text matching techniques; and

program code adapted for determining at least one attribute descriptor from the tagged information file that precedes the attribute name and at least one attribute descriptor that succeeds the attribute name, wherein the tagged information file is parsed based on a set of associated part of speech tags to determine a conclusion of the at least one attribute descriptor.

14. The computer program product of claim 13, wherein the input text data is structured.

15. The computer program product of claim 13, wherein the input text data is unstructured.

16. The computer program product of claim 13, wherein the at least one information source is a URL.

17. The computer program product of claim 13, wherein the program code adapted for identifying the location of the attribute name in the tagged information file includes an approximate text matching technique.