System, methods and user interface for discovering and presenting information in text content

• US 9,092,428 B1
• Filed: 12/10/2012
• Issued: 07/28/2015
• Est. Priority Date: 12/09/2011
• Status: Active Grant

• Current Assignee: Linfo IP LLC (Pueblo Nuevo LLC)
• Original Assignee: Chizhong Zhang, Guangsheng Zhang
• Inventors: Zhang, Guangsheng, Zhang, Chizhong
• Primary Examiner(s): Opsasnick, Michael N
• Application Number:
  US13/709,827
• Time in Patent Office: 960 Days
• Field of Search: 704 1- 10, 715/234
• US Class Current: 1/1
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

A system with methods and user interface for discovering and presenting information in text content with different view formats, including steps of identifying the grammatical, semantic, contextual, and topical attributes of the words or phrases in the text content, and providing user interface objects to allow the user to specify an attribute of the words or phrases in the content and perform an action on the words or phrases. The supported actions include extracting, displaying in a specific format, showing or hiding, or highlighting the words or phrases.

Claims

1. A computer-assisted method for discovering information in a text content and extracting and presenting the information, comprising:

obtaining, by a computer system, a text content comprising one or more words or phrases or sentences, each being a term or an instance of a term;

selecting a first semantic attribute and a second semantic attribute for users to select from, wherein the first semantic attribute or the second semantic attribute includes an attribute type or attribute value;

wherein the first semantic attribute is associated with a first name or description, and the second semantic attribute is associated with a second name or description;

identifying a words or phrases in the text content associated with the first semantic attribute or the second semantic attribute;

displaying an actionable user interface object, wherein the actionable user interface object is associated with a label representing the first name or description or the second name or description;

allowing the user to select the first name or description or the second name or description as a user-specified or user-desired attribute; and

performing, by the computer system, an action on the word or phrase associated with the user-specified or user-desired semantic attribute, wherein the action includes at least extracting, displaying, storing, showing or hiding, or highlighting or un-highlighting the word or phrase.

2. The method of claim 1, wherein the first semantic attribute and the second semantic attribute are associated with a shared semantic category or in the same semantic category.

3. The method of claim 2, wherein the first semantic attribute represents a meaning that is in contrast with the second semantic attribute in the shared semantic category, wherein the shared semantic category includes at least the semantic category of sentiment or opinion, wherein the contrast includes at least a positive opinion versus a negative option or a neutral opinion.

4. The method of claim 1, wherein the first semantic attribute and the second semantic attribute are not named entities, or are not a relation between named entities;

or

if the first semantic attribute or the second semantic attribute is associated with a pattern of words or symbols, then the first semantic attribute or the second semantic attribute is not determined from a dataset, wherein the dataset includes an ontological database, wherein the symbols comprise non-alphabetic characters.

5. The method of claim 1, wherein the first semantic attribute or the second semantic attribute represents a threshold value of importance of a word or phrase in representing a topic or information focus in the text content.

6. The method of claim 5, wherein the importance of a word or phrase is represented in the format of a term importance measure, wherein the term importance measure for the word or phrase is determined based at least on a grammatical roles associated with the word or phrase in the text content.

7. The method of claim 1, wherein the steps of associating a word or phrase with the first semantic attribute or the second semantic attribute comprise matching the word or phrase in the text content with a word or phrase in a dataset or dictionary, and initially assigning the word phrase with an initial or default semantic attribute, wherein the initial or default semantic attribute is changed by a different word or phrase surrounding the word or phrase, the method further comprising:

identifying the different word or phrase surrounding the word or phrase, and determining the changed attribute based on the different word or phrase.

8. The method of claim 6, wherein there are one or more of the different words or phrases representing the context of the word or phrase, wherein the context has a scope comprising the one or more different words or phrases in addition to the word or phrase, wherein the words or phrases in the entire scope collectively represent the semantic attribute, the method further comprising:

identifying the scope of context of the word or phrase, and performing the user-selected action on the entire scope.

9. The method of claim 1, wherein the selected action includes at least the action of extracting, the method further comprising:

allowing the user to select a view format for the extracted terms, wherein the view format includes at least a list format, or a tree or hierarchical format, or a cloud format; and

displaying, in the user interface, or storing in a file, the extracted words or phrases according to the selected view format.

10. The method of claim 1, when the selected action is the action of showing or hiding, and two or more words or phrases are associated with the selected semantic attribute, the words or phrases are shown or hidden as node names in a tree format, or words or phrases in a list format, or words or phrases in a word cloud format.

11. The method of claim 1, when the selected action is the action of highlighting or un-highlighting, and two or more words or phrases are associated with the selected semantic attribute, the two or more words or phrases include words or phrases in the text content, or extracted words or phrases as node names in a tree format, or words or phrases in a list format, or words or phrases in a word-cloud format.

12. The method of claim 1, wherein the text content includes a word or a phrase or a sentence or paragraph or a document, or a collection of a plurality of documents, wherein a document or a collection of a plurality of documents includes any content containing text including a file, a web page, a blog, a note, an email, a comment residing on a website or a social network site or a mobile communication device, an SMS, a news or journal article, or an e-book.

13. The method of claim 1, wherein the step of associating the semantic attribute with the word or phrase in the text content is implemented either before or after the user has selected the first name or description or the second name or description.

14. A system for discovering information in a text content and presenting the information, comprising:

a computer processor configured to

obtain a text content comprising one or more words or phrases;

display the name or description of a first semantic attribute and a second semantic attribute for users to select from in one or more selectable user interface objects, wherein the first semantic attribute or the second semantic attribute includes an attribute type or attribute value,

display an actionable user interface object, wherein the actionable user interface object is associated with a label representing the name or description of the first semantic attribute or the name or description of the second semantic attribute;

allow a user to select the name or description of the first semantic attribute or the name or description of the second semantic attribute as a user-specified or user-desired attribute,

identify, in the text content, a word or a phrase associated with the user-specified or user-desired attribute, and

perform an action on the word or phrase, wherein the action includes at least extracting, displaying, storing, showing or hiding, or highlighting or un-highlighting the word or phrase.

15. The system of claim 14, wherein the first semantic attribute and the second semantic attribute for user selection are associated with a shared semantic category or in the same semantic category.

16. The system of claim 15, wherein the first semantic attribute represents a meaning that is in contrast with the second semantic attribute in the shared semantic category, wherein the shared semantic category includes at least the semantic category of sentiment or opinion.

17. The method of claim 14, wherein the first semantic attribute or the second semantic attribute represents a threshold value of importance of the word or phrase in representing a topic or information focus in the text content.

18. A system for displaying terms extracted from a text content in a view format, comprising:

a computer processor configured to

obtain a data file containing words or phrases extracted from a text content;

display one or more selectable user interface objects configured to accept user selection for displaying the extracted words or phrases in one of a plurality of view formats; and

display the extracted words or phrases in the user-selected view format, wherein the text content comprises two or more words or phrases or sentences or paragraphs, wherein the method of extracting the words or phrases comprise the steps of;

(a) selecting a semantic attribute or a term importance threshold, wherein the semantic attribute includes an attribute type or value,

(b) identifying the words or phrases in the text content associated with the semantic attribute, or calculating a term importance measure for the words or phrases in representing information in the text content,

(c) extracting the words or phrases associated with the semantic attribute or with a term importance measure above the term importance threshold,

(d) organizing the extracted words or phrases into one or more view formats, wherein the view formats include at least a tree or hierarchical format, a list format with a list comprising the extracted words or phrases, or a cloud format with a multi-dimensional arrangement comprising the extracted words or phrases, and

(e) storing the extracted words or phrase in the data file.

19. The system of claim 18, when the view format is a tree or hierarchical format based on the grammatical or semantic relationships among the extracted words or phrases, the grammatical or semantic relationships among the extracted words or phrases in the tree or hierarchical format include a topic-subtopic relationship, or a topic-comment relationship, or a subject-predicate relationship, with the first-level node in the tree representing a topic and the second or lower-level node representing a sub-topic or a comment on the topic, or with the first-level node in the tree having the grammatical role of the subject of a sentence and the second or lower-level node having the grammatical role of at least part of a predicate of the corresponding sentence.

20. The system of claim 18, wherein the extracted words or phrases in the view format are displayed with or without the text content.