PATENT CLAIM ANALYSIS

Application Number: 16178929
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["706", "012000"]

Abstract:
Systems and methods enable intelligent online user classification and cohort detection within an electronic communications environment includes accessing electronic communication data exchanged between a plurality of online users; processing the electronic communication data by (i) extracting cohort data features from the electronic communication data; (ii) allowing the extracted cohort data features, as input, into a cohort grouping circuit; (iii) identifying, by the cohort grouping circuit, at least one cohort grouping comprising a subset of online users of the plurality of online users based on an output of the cohort grouping circuit; wherein the cohort grouping circuit uses the extracted cohort data features to generate a cohort network mapping that illustrates connections between the subset of online users defining the at least one cohort grouping.

Claim (Index 11):
The method according to  claim 6 , wherein\n each of the online user of the subset of online users within the cohort network mapping is represented as a distinct node within a graphical representation of the cohort network mapping; the method further comprising:\n selecting a node within the graphical illustration of the cohort network mapping; and \n responsive to the selecting the node, automatically presenting via an interface of an online networking environment one or more options for establishing an electronic communication with the online user and/or routing an electronic message to the online user.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 2.13846
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15995865', '15801043', '15715332', '11193691', '14975756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3263548312728878
- 35 USC 102 Novelty (BERT): 0.4863816879555815
- Combined Prediction Score: 0.3423575169411572
- Mean Citation Score: 161.50820399999995
- Max Citation Score: 214.90756
- Similarity Product: 164.25364073774813

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