US 11,886,824 B2 · Sentiment progression analysis

Abstract

Various embodiments of the present disclosure performing conversation sentiment monitoring for a conversation data object. In various embodiments, a text block that can be resized is identified within a conversation data object and successive regularized sentiment profile generation iterations are performed until a regularized sentiment score of the block exceeds a regularized sentiment score threshold. A current regularized sentiment profile generation iteration involves determining a regularized sentiment score for the block based on an initial sentiment score, a subjectivity probability value, and, optionally, a stage-wise penalty factor. A determination is then made as to whether the score exceeds the threshold. If so, then a regularized sentiment profile of the conversation data object is updated based on the regularized sentiment score. If not, then the text block is resized and a subsequent regularized sentiment profile generation iteration is performed based on the resized block.

Claims20

Dependent claims

A computer-implemented method comprising:

identifying, by one or more processors, a conversation block within a conversation data object;
identifying, by the one or more processors, an initial sentiment score for the conversation block;
identifying, by the one or more processors, a subjectivity probability value for the conversation block that describes an inferred likelihood that the conversation block is characterized by one or more subjective sentiments;
generating, by the one or more processors and a stage-wise penalty factor determination model, a stage-wise penalty factor for the conversation block that describes a stage-aware sentiment score for the conversation block based at least in part on a related conversation stage of a plurality of conversation stages associated with the conversation data object;
generating, by the one or more processors, and based at least in part on the initial sentiment score, the subjectivity probability value, and the stage-wise penalty factor, a regularized sentiment score for the conversation block;
and
causing, by the one or more processors, one or more actions to be performed based at least in part on the regularized sentiment score.

4 more elements

A computing system comprising one or more processors and a memory including a computer program code, the memory and the computer program code configured to, with the one or more processors, cause the computing system to:

identify a conversation block within a conversation data object;
identify an initial sentiment score for the conversation block;
identify a subjectivity probability value for the conversation block that describes an inferred likelihood that the conversation block is characterized by one or more subjective sentiments;
generate, using a stage-wise penalty factor determination model, a stage-wise penalty factor for the conversation block that describes a stage-aware sentiment score for the conversation block based at least in part on a related conversation stage of a plurality of conversation stages associated with the conversation data object;
generate, based at least in part on the initial sentiment score, the subjectivity probability value, and the stage-wise penalty factor, a regularized sentiment score for the conversation block;
and
cause one or more actions to be performed based at least in part on the regularized sentiment score.

4 more elements

A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:

identify a conversation block within a conversation data object;
identify an initial sentiment score for the conversation block;
identify a subjectivity probability value for the conversation block that describes an inferred likelihood that the conversation block is characterized by one or more subjective sentiments;
generate, using a stage-wise penalty factor determination model, a stage-wise penalty factor for the conversation block that describes a stage-aware sentiment score for the conversation block based at least in part on a related conversation stage of a plurality of conversation stages associated with the conversation data object;
generate, based at least in part on the initial sentiment score, the subjectivity probability value, and the stage-wise penalty factor, a regularized sentiment score for the conversation block;
and
cause one or more actions to be performed based at least in part on the regularized sentiment score.

4 more elements

Dependencies are inferred from the claim text.

Sentiment progression analysis

Life of this patent

Sentiment progression analysis

Life of this patent

Abstract

Claims20