PATENT CLAIM ANALYSIS

Application Number: 16112309
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-07
Patent Classification: ["715", "500100"]

Abstract:
Systems and methods are presented for content extraction from markup language text. The content extraction process may parse markup language text into a hierarchical data model and then apply one or more filters. Output filters may be used to make the process more versatile. The operation of the content extraction process and the one or more filters may be controlled by one or more settings set by a user, or automatically by a classifier. The classifier may automatically enter settings by classifying markup language text and entering settings based on this classification. Automatic classification may be performed by clustering unclassified markup language texts with previously classified markup language texts.

Claim (Index 10):
The method of  claim 9 , wherein the classification assigned to the markup language text is the same classification as that of the previously classified identifier with the best measure of similarity to the computed first identifier.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 96.0
- Lexical Diversity: 1.93333
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15187577', '13900912', '11395579', '12447899', '11542820']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3555965226310962
- 35 USC 102 Novelty (BERT): 0.5500519790150902
- Combined Prediction Score: 0.3750420682694956
- Mean Citation Score: 307.224596
- Max Citation Score: 437.18118
- Similarity Product: 335.3660246123921

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

Dataset: test