PATENT CLAIM ANALYSIS

Application Number: 16154476
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["379", "085000"]

Abstract:
A computing apparatus configured to perform natural language processing, e.g., by comparing the words in a communication transcript of a user to a list of keywords, to generate an input vector representing a pattern of text in the communication transcript. A predictive model is generated from correlating input vectors to user ranking scores, e.g., for retention. The input vector determined from a communication transcript is applied to the computation model to compute a predicted retention score of the user. The retention score can be used, for example, to select a personalized recommendation for a communication connection to an adviser and/or a targeted offer.

Claim (Index 14):
The computing system of  claim 21 , wherein the input vectors correspond to text patterns identified via the natural language processing of the transcripts.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.86885
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15808870', '15332913', '15166888', '15166775', '15831249']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5954279212917568
- 35 USC 102 Novelty (BERT): 0.5231560483555654
- Combined Prediction Score: 0.5882007339981377
- Mean Citation Score: 327.9993560000001
- Max Citation Score: 375.03354
- Similarity Product: 291.95590653906584

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