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 1):
An arrangement of at least one non-transitory computer readable medium comprising code that, if executed by at least one computer processor comprised by a virtual assistant, would cause the virtual assistant to:\n receive a command; perform an action, responsive to the command, to produce a result for observation by a user; receive an utterance from the user; recognize words in the utterance; analyze the words to produce a satisfaction indicator; and store the satisfaction indicator in a database to allow the virtual assistant to improve future actions.

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): 0.2812810567621819
- 35 USC 102 Novelty (BERT): 0.4994996004008329
- Combined Prediction Score: 0.303102911126047
- Mean Citation Score: 208.936798
- Max Citation Score: 224.0176
- Similarity Product: 145.1192351921081

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

Dataset: test