PATENT CLAIM ANALYSIS

Application Number: 15907027
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["707", "722000"]

Abstract:
Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Claim (Index 10):
The computer program of  claim 9 , wherein the at least one issues-by-case metadata file comprises at least one entry comprising a case identifier and one or more issue identifiers.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.71186
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13890740', '15091967', '12869456', '13760295', '12869413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2660628049760443
- 35 USC 102 Novelty (BERT): 0.6082549737670725
- Combined Prediction Score: 0.3002820218551471
- Mean Citation Score: 496.22129800000016
- Max Citation Score: 586.7095
- Similarity Product: 479.9740884998441

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

Dataset: test