PATENT CLAIM ANALYSIS

Application Number: 16147892
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["704", "275000"]

Abstract:
A speech and natural language-based virtual assistant parses user utterances and analyzes them in the context of recent prior actions to detect sentiment and indicators of satisfaction or dissatisfaction. Indicators are stored in a database in association with the prior command and resulting action. Databases can include timestamps, clarifications made by users, and a knowledge graph of facts. Machine learning, applied to the database, train models to deliver improved results in future user engagements.

Claim (Index 16):
The method of  claim 15  further comprising creating a fact in a knowledgebase with the new information.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 1.38983
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15439883', '13917884', '09390370', '09432155', '15294234']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2803844531237545
- 35 USC 102 Novelty (BERT): 0.5041426315281313
- Combined Prediction Score: 0.3027602709641922
- Mean Citation Score: 208.936798
- Max Citation Score: 224.0176
- Similarity Product: 136.06662120018007

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