PATENT CLAIM ANALYSIS

Application Number: 16455593
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["704", "273000"]

Abstract:
One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.

Claim (Index 11):
The system of  claim 10 , wherein applying a learned detection model comprises:\n applying a classifier from a set of classifiers to the conversation.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 100.0
- Lexical Diversity: 1.56452
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16051205', '15436371', '15650919', '15209052', '15621923']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.301445925950127
- 35 USC 102 Novelty (BERT): 0.5336278857023496
- Combined Prediction Score: 0.3246641219253492
- Mean Citation Score: 215.90400520000003
- Max Citation Score: 353.81186
- Similarity Product: 223.99045512844563

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