PATENT CLAIM ANALYSIS

Application Number: 15902808
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["379", "265070"]

Abstract:
The disclosure is directed to automatically determining customer pain points by analyzing conversations of representatives with customers. A feedback identification system retrieves recordings of various conversations, extracts features of the conversations, and analyzes the features to determine a set of features that is indicative of a customer pain point. A customer pain point is a problem the customer is facing with a product. The set of features is analyzed to generate a feedback manifest, which includes the customer pain point (a) as a summary of what is discussed in the conversations or (b) verbatim from the conversations.

Claim (Index 6):
The computer-implemented method of  claim 1 , wherein generating the information regarding the pain point includes generating the set of features, the set of features including one or more words or phrases in the first conversation that are indicative of the pain point.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.92857
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15902751', '15854642', '15835807', '15817490', '15793691']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5448404964836873
- 35 USC 102 Novelty (BERT): 0.5222910747982623
- Combined Prediction Score: 0.5425855543151448
- Mean Citation Score: 302.605048
- Max Citation Score: 346.99536
- Similarity Product: 317.4266563221932

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

Dataset: test