PATENT CLAIM ANALYSIS

Application Number: 15902751
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["379", "265070"]

Abstract:
The disclosure is directed to automatically determining product feature requests 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 feature request. A feature request is a request for adding a specified functionality to a product. The set of features is analyzed to generate a feedback manifest, which includes the feature request (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 feature request 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 feature request.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 88.0
- Lexical Diversity: 1.85965
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15902808', '15854642', '15835807', '15817490', '15793691']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.547906255922647
- 35 USC 102 Novelty (BERT): 0.5230264074595725
- Combined Prediction Score: 0.5454182710763396
- Mean Citation Score: 308.889086
- Max Citation Score: 350.30325
- Similarity Product: 333.08476299244165

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