TOPICAL ANALYTICS FOR ONLINE ARTICLES

Patent №

US 10,089,366

Granted

2018-10-02

Filed 2016

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15065572

Systems and methods provide for analyzing a group of online articles to identify relevant and popular topics. Text from each online is analyzed to identify topics relevant to each online article and to generate a relevance score for each topic and each online article. The topics are scored as a function of the relevance scores and visitor metrics for the online articles. The visitor metrics may include all visitors or only visitors within a particular visitor segment. The most relevant and popular topics are identified based on the scored topics. In some embodiments, the online articles are further analyzed to identify terms used in the online articles that are important to each topic. Further embodiments analyze the online articles to determine the lifespan of topics and terms, reflecting the popularity of topics and terms over time intervals.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG06F 16/24578G06F 16/248G06F 16/93G06F 16/9535H04L 67/00H04L 67/12

AI classification

Natural language1.00
Machine learning1.00
Speech1.00
Planning0.98
Knowledge representation0.97
AI hardware0.61
Evolutionary computation0.01
Vision0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 385120857

Assignors

PAULSEN, TREVOR HYRUM, VASQUEZ, JAIME

On an employer assignment, the assignors are typically the inventors.

From the same owner

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