PATENT CLAIM ANALYSIS

Application Number: 15994654
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["725", "029000"]

Abstract:
A method for censoring a broadcast includes sending a notification that viewing content is being recorded by a broadcaster and available for viewing. They method also includes identifying one or more viewers that have accepted the notification and identifying the one or more viewer's viewers' relationship level to the broadcaster. The method also includes generating a buffer for the viewer. The method also includes determining a sensitive content occurrence frequency of the broadcaster and adjusting the buffer length based on the relationship level for the viewer. The method also includes parsing the broadcast of the broadcaster to identify sensitive viewing content, and, in response to a determination that the sensitive viewing content exceeds the viewer's relationship level, censoring the sensitive viewing content based on the adjusted buffer length of a buffered version of the broadcast transmitted to the viewer.

Claim (Index 6):
The method of  claim 1 , wherein parsing uses a natural language processor configured to transcribe annotations comprised throughout the duration of the broadcast, wherein the annotations comprise auditory and visual annotations, wherein auditory and visual annotations comprise the content, sentiment, and tone of the broadcaster's broadcast.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.54237
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15495013', '14839864', '12583707', '14839858', '15219865']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4246644117699759
- 35 USC 102 Novelty (BERT): 0.5248913590486456
- Combined Prediction Score: 0.4346871064978429
- Mean Citation Score: 205.606822
- Max Citation Score: 212.2531
- Similarity Product: 112.9502911411524

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test