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 9):
The method of  claim 1 , wherein the applying the machine learning classifier further comprises:\n classifying, by the computer, the one or more new electronic documents with the machine learning classifier based on one of textual content and raster image of the one or more new electronic documents.

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): 0.299195983831893
- 35 USC 102 Novelty (BERT): 0.5435468981522822
- Combined Prediction Score: 0.323631075263932
- Mean Citation Score: 224.403004
- Max Citation Score: 374.0646
- Similarity Product: 289.50974252257345

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