Systems and methods for dynamically determining the attitude of a natural language speaker
First Claim
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1. A method for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising:
- determining at least one actual valence for the at least one lexical item by analyzing the at least one lexical item in context of said speech;
determining said attitude based on the at least one actual valence;
associating said speaker, said entity and said attitude;
wherein the at least one lexical item encodes attitude information about said entity;
determining at least one base valence for the at least one lexical item; and
wherein analyzing the at least one lexical item in context includes adjusting the at least one base valence based on a contextual valence shifter (CVS) selected from the group consisting of a presupposition CVS, a genre CVS and a tune.
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Abstract
Systems and methods for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising determining at least one actual valence for the at least one lexical item by analyzing the at least one lexical item in context; determining the attitude based on the at least one actual valence; associating the speaker, the entity and the attitude; and wherein the at least one lexical item encodes attitude information about the entity.
42 Citations
78 Claims
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1. A method for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising:
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determining at least one actual valence for the at least one lexical item by analyzing the at least one lexical item in context of said speech; determining said attitude based on the at least one actual valence; associating said speaker, said entity and said attitude; wherein the at least one lexical item encodes attitude information about said entity; determining at least one base valence for the at least one lexical item; and wherein analyzing the at least one lexical item in context includes adjusting the at least one base valence based on a contextual valence shifter (CVS) selected from the group consisting of a presupposition CVS, a genre CVS and a tune. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising:
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determining at least one base valence for said at least one lexical item; determining at least one actual valence for the at least one lexical item by adjusting the at least one base valence based on at least one contextual valence shifter (CVS) selected from the group consisting of a presupposition CVS, a genre CVS and a tune; determining said attitude based on the at least one actual valence; associating said speaker, said entity and said attitude; and wherein said at least one lexical item encodes attitude information about said entity. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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39. A system for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising:
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a base valence calculator to determine at least one base valence of the at least one lexical item; a contextual valence adjuster coupled to the base valence calculator, the contextual valence adjuster to adjust the at least one base valence based on at least one contextual valence shifter (CVS), selected from the group consisting of a presupposition CVS, a genre CVS and a tune; an entity identifier to identity the entity;
an attitude mapper coupled to the entity identifier and the contextual valence adjuster, the attitude mapper to determine the attitude based on the at least one adjusted valence and to associate the speaker, the entity, and an attitude. - View Dependent Claims (40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59)
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60. A machine readable medium having instructions stored thereon that when executed by a processor cause a system to:
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determine at least one actual valence for at least one lexical item by analyzing the at least one lexical item in context of a speech; determine an attitude based on the at least one actual valence; associate a speaker, an entity and the attitude; wherein the at least one lexical item encodes attitude information about the entity; determining at least one base valence for the at least one lexical item; and wherein analyzing the at least one lexical item includes adjusting the at least one base valence based on a contextual valence shifter (CVS) selected from the group consisting of a presupposition CVS, a genre CVS and a tune. - View Dependent Claims (61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78)
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Specification