INCORPORATING CONTENT ANALYTICS AND NATURAL LANGUAGE PROCESSING INTO INTERNET WEB BROWSERS

• US 20160124928A1
• Filed: 04/21/2015
• Published: 05/05/2016
• Est. Priority Date: 10/31/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: FINK, Patrick W., MCNEIL, Kristin E., PARKER, Philip E., WERTS, David B.
• Granted Patent: US 9,760,555 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

Techniques disclosed herein describe generating annotations for text content rendered on a web browser. The web browser is configured with a content analytics plug-in configured to receive content to render in the web browser. The content itself includes unstructured text. The content analytics plug-in evaluates the unstructured text using content analytics and natural language processing (NLP) techniques to characterize the meaning of one or more passages in the unstructured text. The content analytics plug-in then generates annotations based on the characterizations to display when the web browser renders the content.

Claims

1. A method for generating annotations for web content rendered by a web browser, the method comprising:

receiving web content to render by the web browser, wherein the web content includes unstructured text;

evaluating the unstructured text using one or more natural language processing (NLP) tools to identify one or more passages in the unstructured text determined to have a predicted meaning; and

generating visual indicators for annotations associated with the identified one or more passages, wherein the visual indicators are displayable when the browser renders the web content.

2. The method of claim 1, wherein one or more of the content analytics tools or NLP tools evaluate the unstructured text via an Unstructured Information Management Architecture (UIMA).

3. The method of claim 1, wherein the annotations are generated for a plurality of distinct content domains, and wherein the annotations for each content domain are rendered in a distinct visual indicator.

4. The method of claim 3, wherein the distinct content domains are each based on medical conditions.

5. The method of claim 1, further comprising, rendering the content and the annotations in the web browser.

6. The method of claim 5, further comprising:

during the rendering of the content and the annotations in the web browser, marking the one or more passages of the content that correspond to each of the annotations.

7. The method of claim 6, further comprising, upon receiving an indication that one of the marked passages is accessed in the web browser, generating a presentation of the corresponding annotation to display in the web browser.