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 10):
A computer-implemented method, comprising the operations of:\n receiving, at one or more servers, a plurality of user generated content (UGC) items that has been posted to an online stream at a website, at least of portion of which is abusive; processing, at the one or more servers, the plurality of UGC items using a predictive model to obtain a predictive probability of whether each of the plurality of UGC items is abusive or not abusive, the predictive probability is used for selecting specific ones of the plurality of UGC items associated with a label and the predictive model is updated using one or more labels when received, wherein said processing removes the portion of the plurality UGC items based on the predictive probability; and delivering, to a client device when the client device accesses the website, the plurality of UGC items without the portion of UGC items that is abusive.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 93.0
- Lexical Diversity: 2.28302
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13282285', '13090378', '15365899', '13529547', '14582550']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2330259277694233
- 35 USC 102 Novelty (BERT): 0.5490139495831877
- Combined Prediction Score: 0.2646247299507998
- Mean Citation Score: 197.108362
- Max Citation Score: 437.5032
- Similarity Product: 322.1847138450623

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