PATENT CLAIM ANALYSIS

Application Number: 15932320
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["707", "723000"]

Abstract:
A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.

Claim (Index 11):
A method of analyzing relationships between documents, the method comprising the acts of:\n extracting text from source documents received from an external document source; storing the extracted text; creating an index of the extracted text; computing a document vector for each source document using the extracted text automatically when the extracted text is stored; storing the document vectors for each source document; receiving a selection of a plurality of source documents as a target dataset and parameters of a query via a user interface; generating a result dataset containing documents of interest from the target dataset based on the query; and automatically selecting a visualization model for clustering the documents of interest based the number of documents of interest in the result dataset and rendering the result set using selected visualization model in a user interface.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 88.0
- Lexical Diversity: 1.57143
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14611624', '15609800', '12587492', '13097797', '13097746']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1954700593074241
- 35 USC 102 Novelty (BERT): 0.5598854608842172
- Combined Prediction Score: 0.2319115994651034
- Mean Citation Score: 224.07882400000005
- Max Citation Score: 446.95676
- Similarity Product: 379.38672988302704

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

Dataset: test