PATENT CLAIM ANALYSIS

Application Number: 15975050
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["706", "055000"]

Abstract:
The present disclosure relates to methods, non-transitory computer readable medium, and apparatus consistent with the present disclosure relate to receiving responses to queries from different, alien to one another in form and substance species of intelligence, including human generated responses and responses provided by intelligent machines when identifying differences between the human sentiment based responses and analytical or functional machine based responses. A method consistent with the present disclosure may receive responses to a query from user devices that are associated with users that are humans, to identify a preferred human query response, preferably out of a selected or trained human swarm, from those received human responses, and to receive a response to the query that was generated by an intelligent machine. This method may then identify that the preferred human query response does not match the machine generated query response, and proceed to a better overall result by means of triangulating between them.

Claim (Index 13):
The method of claim  1 , further comprising:\n receiving another set of query responses to another query from a human species swarm of users and from a machine species via a human associated stream of responses and a machine associated stream of responses; identifying a preferred response to the another query from the human species user swarm; comparing the preferred response from the human species user swarm with a response to the another query from the machine species; identifying whether the preferred human species another query response or the response to the query from the machine species is more likely to forecast a future event associated with a first company; accessing a rule, the rule associated with buying or selling a stock associated with a second company based on the more likely forecasted future event.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.93023
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15471838', '15815579', '12951130', '13971959', '10536476']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.368425463574274
- 35 USC 102 Novelty (BERT): 0.4881231619913872
- Combined Prediction Score: 0.3803952334159853
- Mean Citation Score: 166.21808
- Max Citation Score: 186.79666
- Similarity Product: 120.87707093253852

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

Dataset: test