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 8):
The method according to  claim 7 , wherein\n identifying the at least one cohort grouping includes grouping into the subset of online users, by the cohort grouping circuit, online users having at least one common cohort machine learning classification label.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 2.13846
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15995865', '15801043', '15715332', '11193691', '14975756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3516274855854305
- 35 USC 102 Novelty (BERT): 0.4948829886742198
- Combined Prediction Score: 0.3659530358943095
- Mean Citation Score: 161.50820399999995
- Max Citation Score: 214.90756
- Similarity Product: 153.31835950478555

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