PATENT CLAIM ANALYSIS

Application Number: 16014837
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["379", "088020"]

Abstract:
A call screening computing system is described that is configured to perform voice captcha and real-time monitoring of calls into a contact center of an organization. The call screening computing system includes a chat bot configured to operate as an AI-based call screener. The chat bot is configured to perform voice captcha by sending a random question to a user device placing a call into the contact center, and analyzing the received answer to determine whether a user of the user device is human or a robot. The chat bot is configured to, based on the user being human, determine whether the user is a legitimate customer of the organization by generating and presenting authentication challenges to the user device. The chat bot may be configured to monitor and interact with a conversation between the user and an agent of the organization during the call into the contact center.

Claim (Index 3):
The method of  claim 1 , wherein the received answer to the random question is a verbal response received from the user device, and wherein determining that the user is human comprises performing voice analysis on the verbal response to determine that the verbal response is generated by a human voice.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 94.0
- Lexical Diversity: 2.30882
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16000453', '15905318', '14726796', '14828394', '13669384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5483764026528843
- 35 USC 102 Novelty (BERT): 0.5023275969605653
- Combined Prediction Score: 0.5437715220836524
- Mean Citation Score: 213.3859
- Max Citation Score: 260.80048
- Similarity Product: 167.65233492919918

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