PATENT CLAIM ANALYSIS

Application Number: 15922802
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["704", "232000"]

Abstract:
A system for optimizing selection of transcription engines using a combination of selected machine learning models. The system includes a plurality of preprocessors that generate a plurality of features from a media data set. The system further includes a deep learning neural network model, a gradient boosted machine model and a random forest model used in generating a ranked list of transcription engines. A transcription engine is selected from the ranked list of transcription engines to generate a transcript for the media dataset.

Claim (Index 3):
The system of  claim 1  further includes a topic modeling preprocessor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.79592
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14291720', '15604473', '15162444', '15878113', '14231222']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2216118014941796
- 35 USC 102 Novelty (BERT): 0.5121218918940912
- Combined Prediction Score: 0.2506628105341708
- Mean Citation Score: 157.737416
- Max Citation Score: 166.08577
- Similarity Product: 89.38675109897373

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