US 8,949,263 B1Granted

Methods and apparatus for sentiment analysis

AssigneeNetBase Solutions, Inc.

InventorsLisa Joy Rosner, Jens Erik Tellefsen, Michael Jacob Osofsky, Jonathan Spier, Ranjeet Singh Bhatia, Malcolm Arthur De Leo, Karl Long

Life of this patent

Estimating the term…

patentgrep

Loading patent…

Abstract

Analysis is enabled, of a corpus of statements (such as those from social media), according to each statement's expression of sentiment about some kind of object. Object-specific corpuses are identified, where each object-specific corpus contains statements that refer to a same object. For each statement of an object-specific corpus, the polarity and intensity of sentiment expressed is determined. Net polarity and intensity measures are determined for each object-specific corpus and utilized to graph the corpus in a two-dimensional space. The area of the graphical symbol, representative of an object-specific corpus, can be proportional to the number (absolute or relative) of statements of the object-specific corpus. Brands can be compared, with each brand represented by an object-specific corpus. A single brand can have shown, relative to a temporal dimension, the net polarity, net intensity, or volume of its statements. Net polarity is shown to have a strong correlation with survey-based techniques.

Claims37

Dependent claims

A method for graphically characterizing statements about an object, comprising:

applying, as a result of computing hardware and programmable memory, frame extraction, to a first corpus, in order to attempt to identify, for each statement of the corpus, an object and a sentiment expressed about the object;
identifying, as a result of computing hardware and programmable memory, a first object-specific corpus, that is a subset of the first corpus, where all the statements of the first object-specific corpus are about a same first object;
categorizing, as a result of computing hardware and programmable memory, a sentiment of each statement, of the first object-specific corpus;
categorizing a polarity of each statement, of the first object-specific corpus;
categorizing an intensity of each statement, of the first object-specific corpus;
determining, as a result of computing hardware and programmable memory, a net polarity measure as a function of the polarity categorization and a net intensity measure as a function of the intensity categorization;
producing, as a result of computing hardware and programmable memory, a first graphical representation, of the first object-specific corpus;
placing the first graphical representation, relative to a first axis, in accordance with the net polarity measure;
and
placing the first graphical representation, relative to a second axis, in accordance with the net intensity measure.

7 more elements

A system for graphically characterizing statements about an object, comprising:

a sub system configured, as a result of the computing hardware and programmable memory, to apply frame extraction, to a first corpus, in order to attempt to identify, for each statement of the corpus, an object and a sentiment expressed about the object;
a sub system configured, as a result of the computing hardware and programmable memory, to identify a first object-specific corpus, that is a subset of the first corpus, where all the statements of the first object-specific corpus are about a same first object;
a sub system configured, as a result of the computing hardware and programmable memory, to categorize a sentiment of each statement, of the first object-specific corpus;
a sub system configured, as a result of the computing hardware and programmable memory, to categorize a polarity of each statement, of the first object-specific corpus;
a sub system configured, as a result of the computing hardware and programmable memory, to categorize an intensity of each statement, of the first object-specific corpus;
a sub system configured, as a result of the computing hardware and programmable memory, to determine a net polarity measure as a function of the polarity categorization and a net intensity measure as a function of the intensity categorization;
a sub system configured, as a result of the computing hardware and programmable memory, to produce a first graphical representation, of the first object-specific corpus;
a sub system configured, as a result of the computing hardware and programmable memory, to place the first graphical representation, relative to a first axis, in accordance with the net polarity measure;
and
a sub-system configured, as a result of the computing hardware and programmable memory, to place the first graphical representation, relative to a second axis, in accordance with the net intensity measure.

7 more elements

Dependencies are inferred from the claim text.