PATENT CLAIM ANALYSIS

Application Number: 16271847
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2020-01
Patent Classification: ["382", "158000"]

Abstract:
A method comprising operating at least one hardware processor for: receiving, as input, a plurality of electronic documents, training a machine learning classifier based, at least on part, on a training set comprising: (i) labels associated with the electronic documents, (ii) raw text from each of said plurality of electronic documents, and (iii) a rasterized version of each of said plurality of electronic documents, and applying said machine learning classifier to classify one or more new electronic documents.

Claim (Index 22):
The non-transitory machine readable medium of  claim 19 , wherein the first neural network is different from the second neural network.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 99.0
- Lexical Diversity: 1.82692
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16037194', '15656269', '14609869', '13605051', '16058476']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3010354668337813
- 35 USC 102 Novelty (BERT): 0.5431964009191665
- Combined Prediction Score: 0.3252515602423199
- Mean Citation Score: 224.403004
- Max Citation Score: 374.0646
- Similarity Product: 210.52366468555925

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