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 13):
The computer-implemented method of  claim 10 , wherein the processing the plurality of UGC items is further configured to obtain an importance weight for each of the plurality of UGC items, and wherein the predictive model is additionally updated by adjusting the importance weight using the one or more labels.

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): 0.257083043916391
- 35 USC 102 Novelty (BERT): 0.5459110142984318
- Combined Prediction Score: 0.285965840954595
- Mean Citation Score: 197.108362
- Max Citation Score: 437.5032
- Similarity Product: 275.5730862170219

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