PATENT CLAIM ANALYSIS

Application Number: 16179017
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["709", "206000"]

Abstract:
Systems and methods for online user classification and archetype detection within an electronic communications environment includes accessing electronic communication data exchanged between a plurality of online users; processing the electronic communication data by: extracting archetype data features from the electronic communication data; allowing the extracted archetype data features, as input, into a machine learning classification system; identifying, by the machine learning classification system, at least one archetype classification that relates to at least one distinct online user archetype of a plurality of distinct online user archetypes; wherein an electronic communications service: generates an archetype network mapping comprising a plurality of online users each having one or more associated archetype classification labels and that illustrates network connections between each of the plurality of online users; updates the archetype network mapping to associate the at least one archetype classification to the at least one online user.

Claim (Index 3):
The system according to  claim 1 , wherein\n the electronic communication processing circuit implements an archetype feature extractor comprising one or more of a deep machine learning model and an archetype data feature filter that operate to assess the electronic communication data of the at least one user and produce a feature corpus comprising the archetype data features.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.32836
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15995865', '16055361', '13956070', '15139807', '14879787']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2569882405511537
- 35 USC 102 Novelty (BERT): 0.4869630358767973
- Combined Prediction Score: 0.2799857200837181
- Mean Citation Score: 197.432128
- Max Citation Score: 231.92197
- Similarity Product: 172.42430682928563

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

Dataset: test