Methods and apparatus for sentiment analysis
First Claim
1. 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.
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Accused Products
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.
46 Citations
37 Claims
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1. A method for graphically characterizing statements about an object, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A system for graphically characterizing statements about an object, comprising:
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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. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37)
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Specification