PATENT CLAIM ANALYSIS

Application Number: 15942500
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["382", "161000"]

Abstract:
This disclosure relates generally to document processing, and more particularly to method and system for determining structural blocks of a document. In one embodiment, the method may include extracting text from the document, the text including text lines. The method may further include generating a feature vector for each of the text lines, the feature vector for the text line including a set of feature values for a set of corresponding features in the text line. The method may further include creating an input matrix for each of the text lines, the input matrix for the text line including a set of feature vectors corresponding to a set of neighboring text lines along with the text line. The method may further include determining a structural block tag for each of the text lines based on the corresponding input matrix using a machine learning model.

Claim (Index 2):
The method of  claim 1 , further comprising:\n receiving an image document; performing an optical text recognition on the image document to generate the document; and applying a text extraction tool with a pre-defined or a dynamic threshold on the document to extract the text lines from the document.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.61017
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14096532', '11954484', '15474194', '12614387', '15175712']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2765257942947227
- 35 USC 102 Novelty (BERT): 0.4906200367649822
- Combined Prediction Score: 0.2979352185417486
- Mean Citation Score: 177.955142
- Max Citation Score: 187.4946
- Similarity Product: 131.1572268679619

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

Dataset: test