EMOTION IDENTIFICATION SYSTEM AND METHOD
First Claim
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1. A method of producing a chart of data transmissions referenced against time comprising:
- providing, with a processor, a database of data indicators that each define emotional content of textual data;
receiving, at a processor, a plurality of textual data transmissions sent by at least one individual during a span of time;
processing, with a processor, the plurality of textual data transmissions to produce at least one data indicator defining emotional content of the plurality of textual data transmissions;
inputting, with a processor, the at least one data indicator of the plurality of textual data transmissions into an emotion similarity model and the data indicators of the database into the emotion similarity model to determine at least one similarity between the at least one data indicator of the plurality of textual data transmissions and the data indicators of the database; and
producing, with a processor, a chart displaying at least one value corresponding to the at least one similarity referenced against at least a portion of the span of time.
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Abstract
A system and method for identifying emotion in text that connotes authentic human expression, and training an engine that produces emotional analysis at various levels of granularity and numerical distribution across a set of emotions at each level of granularity. The method may include producing a chart of data transmissions referenced against time, comparing filtered data transmissions to a database, and selecting a database based on a demographic class of an author.
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Citations
20 Claims
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1. A method of producing a chart of data transmissions referenced against time comprising:
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providing, with a processor, a database of data indicators that each define emotional content of textual data; receiving, at a processor, a plurality of textual data transmissions sent by at least one individual during a span of time; processing, with a processor, the plurality of textual data transmissions to produce at least one data indicator defining emotional content of the plurality of textual data transmissions; inputting, with a processor, the at least one data indicator of the plurality of textual data transmissions into an emotion similarity model and the data indicators of the database into the emotion similarity model to determine at least one similarity between the at least one data indicator of the plurality of textual data transmissions and the data indicators of the database; and producing, with a processor, a chart displaying at least one value corresponding to the at least one similarity referenced against at least a portion of the span of time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of comparing filtered data transmissions to a database comprising:
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providing, with a processor, a database of data indicators that each define emotional content of textual data; receiving, at a processor, a plurality of textual data transmissions sent by at least one individual; filtering, with a processor, the plurality of textual data transmissions to produce a subset of the plurality of textual data transmissions based on whether words of the plurality of textual data transmissions contain at least one specified word; processing, with a processor, the subset of the plurality of textual data transmissions to produce at least one data indicator defining emotional content of the subset of the plurality of textual data transmissions; and inputting, with a processor, the at least one data indicator of the subset of the plurality of textual data transmissions into an emotion similarity model and the data indicators of the database into the emotion similarity model to determine at least one similarity between the at least one data indicator of the subset of the plurality of textual data transmissions and the data indicators of textual data of the database. - View Dependent Claims (13, 14, 15)
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16. A method of selecting a database based on a demographic class of an author comprising:
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providing, with a processor, a first database of data indicators that each define emotional content of textual data and are associated with a first demographic class; providing, with a processor, a second database of data indicators that each define emotional content of textual data and are associated with a second demographic class; receiving, at a processor, first textual data authored by a first individual who is associated with the first demographic class; processing, with a processor, the first textual data to produce a first data indicator defining emotional content of the first textual data; receiving, at a processor, second textual data authored by a second individual who is associated with the second demographic class; processing, with a processor, the second textual data to produce a second data indicator defining emotional content of the second textual data; determining, with a processor, whether to input the first data indicator into a first emotion similarity model that utilizes the data indicators of the first database, or into a second emotion similarity model that utilizes the data indicators of the second database, based on whether the first individual is associated with the first demographic class or the second demographic class; inputting, with a processor, the first data indicator into the first emotion similarity model to determine a similarity between the first textual data and the data indicators of the first database; and inputting, with a processor, the second data indicator into the second emotion similarity model to determine a similarity between the second textual data and the data indicators of the second database. - View Dependent Claims (17, 18, 19, 20)
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Specification