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 16):
The method according to  claim 6 , wherein\n the cohort network mapping comprises a searchable graphical illustration; in response to receiving a search query for a specifically-named online user or a classification label of an online user, prominently identifying one or more nodes within the graphical illustration of the cohort network mapping that satisfy the search query, wherein the one or more nodes comprise one or more online users.

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): 0.3525773959285707
- 35 USC 102 Novelty (BERT): 0.4906174633672263
- Combined Prediction Score: 0.3663814026724363
- Mean Citation Score: 161.50820399999995
- Max Citation Score: 214.90756
- Similarity Product: 160.83522370676042

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

Dataset: test