PATENT CLAIM ANALYSIS

Application Number: 16238619
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["705", "007290"]

Abstract:
A processor uses natural language processing to ingest product reviews for a plurality of products. Each of the products embodies a specific form for each of the plurality of product features. The processor analyzes the ingested product reviews for sentiments associated with the specific forms. The processor generates a sentiment score for each product feature based on the analysis. The processor ranks the plurality of product features based on the sentiment scores.

Claim (Index 14):
The system of  claim 12 , wherein the analyzing the ingested product reviews comprises:\n identifying, in an ingested product review for a first product embodying a first specific form for a first product feature, a relatively strong positive sentiment associated with the first specific form; and identifying, in an ingested product review for a second product embodying a second specific form for the first product feature, a relatively strong negative sentiment associated with the second specific form, wherein the relatively strong positive sentiment and the relatively strong negative sentiment both cause a sentiment score for the first product feature to be higher.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 99.0
- Lexical Diversity: 1.97436
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14930693', '14948853', '11951155', '12020483', '14339213']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1115588824231006
- 35 USC 102 Novelty (BERT): 0.5190152984641087
- Combined Prediction Score: 0.1523045240272014
- Mean Citation Score: 192.001926
- Max Citation Score: 333.88428
- Similarity Product: 291.6564924316478

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

Dataset: test