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 20):
The non-transitory computer-readable medium of  claim 19 , wherein said selecting the specific ones of the plurality of UGC items associated with the label further includes:\n creating a queue for delivering selected ones of the plurality of UGC items to a human labeler that generates the label and other labels responsive to label requests, wherein an order of the queue depends from the predictive probability such that UGC items having a predictive probability of being abusive are placed ahead of UGC items having a predictive probability of being not abusive within the queue; wherein the specific ones of the plurality of UGC items become associated with the label once the label is generated.

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): 0.2567869530327333
- 35 USC 102 Novelty (BERT): 0.5466540882494625
- Combined Prediction Score: 0.2857736665544063
- Mean Citation Score: 197.108362
- Max Citation Score: 437.5032
- Similarity Product: 282.00774525775915

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