PATENT CLAIM ANALYSIS

Application Number: 15885813
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["704", "009000"]

Abstract:
A personality model is created for a population and used as an input to a text generation system. Alternative texts are created based upon the emotional effect of the generated text. Certain words or phrases are “pinned” in the output, reducing the variability of the generated text so as to preserve required information content, and a number of tests provide input to a discriminator network so that proposed outputs both match an outside objective regarding the information content, emotional affect, and grammatical acceptability. A feedback loop provides new “ground truth” data points for refining the personality model and associated generated text.

Claim (Index 17):
A system, including a processor and instructions included in a non-volatile computer-readable medium, wherein the instructions when interpreted by the processor cause the processor to:\n collect representative text information attributable to one or more natural persons; impute a strength of one or more mutually orthogonal personality traits as expressed in the representative text; divide the one or more natural persons into one or more modeled classes based upon shared relative values of the imputed personality trait; receive an input text including a first semantic content and a first expressive content, wherein the first expressive content is measured by the imputed personality trait; and generate an output text that includes the first semantic content and a second expressive content.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.59155
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15885807', '15407713', '15815686', '15408526', '15147222']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2280164719797358
- 35 USC 102 Novelty (BERT): 0.5772409100784935
- Combined Prediction Score: 0.2629389157896116
- Mean Citation Score: 225.68741
- Max Citation Score: 475.27026
- Similarity Product: 379.0615232171488

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test