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 4):
The system according to  claim 1 , wherein\n the machine learning classification system comprises an ensemble of machine learning classifiers comprising a plurality of distinct machine learning classifiers, wherein each of the plurality of distinct machine learning classifiers is configured to generate a distinct archetype classification label upon a detection of a distinct archetype data feature within the extracted archetype data features, wherein processing the electronic communication data includes:\n generating by the plurality of distinct machine learning classifiers one or more archetype machine learning classification labels for the at least one online user based on one or more distinct archetype data features of the extracted archetype data features; \n applying a global archetype classification threshold to the one or more archetype machine learning classification labels; \n wherein identifying the archetype classification for the at least one online user includes outputting the archetype classification that maps to the one or more archetype machine learning classification labels that satisfies or exceeds the global archetype classification threshold.

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): 0.2569111122266106
- 35 USC 102 Novelty (BERT): 0.4873940193746227
- Combined Prediction Score: 0.2799594029414118
- Mean Citation Score: 197.432128
- Max Citation Score: 231.92197
- Similarity Product: 171.50462094909548

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

Dataset: test