Identifying and forecasting shifts in the mood of social media users

US9015089B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9015089-B2
Application numberUS-201313750230-A
CountryUS
Kind codeB2
Filing dateJan 25, 2013
Priority dateApr 17, 2012
Publication dateApr 21, 2015
Grant dateApr 21, 2015

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Abstract

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Quantitatively identifying and forecasting shifts in a mood of social media users is described. An example method includes categorizing the textual messages generated from the social media users over a selected period of time into a plurality of word categories, with each word category containing a set of words associated with the mood of social media users. A score indicating an intensity of the mood of the social media users is calculated for each word category, wherein a value of the score and its corresponding time point define a data point for the word category. Subsequently, breakpoints in the mood of social media users are determined so that the breakpoints minimize a sum of square errors representing a measurement of a consistency of all data points from inferred values of the scores of the data points derived using the breakpoints over the selected period of time. Further, space of all possible breakpoints for the word categories are searched to identify a defined number and locations of the breakpoints. Finally the breakpoints over the selected period of time are interpreted to identify the shifts in the mood of social media users and trends between breakpoints.

First claim

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What is claimed is: 1. A quantitative method for identifying shifts in a mood of social media users, comprising: categorizing textual messages generated from the social media users over a selected period of time into a plurality of word categories, wherein each word category contains a set of words associated with the mood of social media users; for each word category, calculating a score representing an intensity of the mood of the social media users, wherein a value of the sco…

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What does patent US9015089B2 cover?
Quantitatively identifying and forecasting shifts in a mood of social media users is described. An example method includes categorizing the textual messages generated from the social media users over a selected period of time into a plurality of word categories, with each word category containing a set of words associated with the mood of social media users. A score indicating an intensity of t…
Who is the assignee on this patent?
Mitre Corp
What technology area does this patent fall under?
Primary CPC classification G06Q10/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 21 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).