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 25):
The computer-readable storage medium of  claim 23 , wherein the instructions for determining the set of features include:\n instructions for determining a set of words or phrases in the conversation based on which the feature request is implicit.

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): 0.5487535627744646
- 35 USC 102 Novelty (BERT): 0.5262985134686958
- Combined Prediction Score: 0.5465080578438878
- Mean Citation Score: 308.889086
- Max Citation Score: 350.30325
- Similarity Product: 264.63953785832217

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

Dataset: test