PATENT CLAIM ANALYSIS

Application Number: 15973130
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["709", "224000"]

Abstract:
Software for online active learning receives content posted to an online stream at a website. The software converts the content into an elemental representation and inputs the elemental representation into a probit model to obtain a predictive probability that the content is abusive. The software also calculates an importance weight based on the elemental representation. And the software updates the probit model using the content, the importance weight, and an acquired label if a condition is met. The condition depends on an instrumental distribution. The software removes the content from the online stream if a condition is met. The condition depends on the predictive probability, if an acquired label is unavailable.

Claim (Index 15):
The computer-implemented method of  claim 10 , wherein at least a portion of the UGC items includes text, the text is processed as elemental representations.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 93.0
- Lexical Diversity: 2.28302
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13282285', '13090378', '15365899', '13529547', '14582550']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2570841471994911
- 35 USC 102 Novelty (BERT): 0.5459083461207213
- Combined Prediction Score: 0.2859665670916141
- Mean Citation Score: 197.108362
- Max Citation Score: 437.5032
- Similarity Product: 275.5499557203769

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