PATENT CLAIM ANALYSIS

Application Number: 15885807
Application Type: Utility
Filing Date: 2018-01
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 21):
The non-transitory computer readable medium of  claim 20  further comprising instructions which, when executed by the one or more processors, cause the one or more processors to:\n compare, using an evaluator coupled to the encoder and decoder, the generated text with a set of measurements made against the source text to create a text similarity evaluation, \n wherein the text similarity evaluation is provided to one or both of the encoder and decoder, and \n wherein internal weights associated with one or both of the encoder and decoder are updated to reinforce high text similarity and to discourage low text similarity.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 86.0
- Lexical Diversity: 1.59155
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15815686', '15407713', '15147222', '15817161', '15408526']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2096336023264461
- 35 USC 102 Novelty (BERT): 0.4950263074264746
- Combined Prediction Score: 0.238172872836449
- Mean Citation Score: 162.37153600000005
- Max Citation Score: 193.36888
- Similarity Product: 130.00758806026457

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