PATENT CLAIM ANALYSIS

Application Number: 15945996
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["704", "009000"]

Abstract:
Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

Claim (Index 7):
The method of  claim 1 , wherein the at least one trained prediction module is one of a trained frustration prediction module, a trained formality prediction module, and a trained politeness prediction module.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.24528
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14757423', '15812632', '14874348', '10329181', '14532238']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2684376330745087
- 35 USC 102 Novelty (BERT): 0.5004975279690296
- Combined Prediction Score: 0.2916436225639608
- Mean Citation Score: 157.39807000000005
- Max Citation Score: 168.56618
- Similarity Product: 95.69709492598534

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test