Patent · US Active

Method and system to predict a data value

US8781989B2 · kind B2 · utility

34Cited by
2References
31Claims
0Family size

Assignee

Inventor

Key dates

Filing dateJan 9, 2011
Grant dateJul 15, 2014
Priority date
Expiry dateOct 2, 2032

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F16/35
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.