PATENT CLAIM ANALYSIS

Application Number: 16059867
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

Abstract:
Client instance data including a plurality of incidents is obtained, each incident including a plurality of fields. A target field and an evaluation field are selected from among the plural fields. The plurality of incidents are grouped into a plurality of clusters based on a degree of a natural language text similarity of respective target fields in the plurality of incidents. A quality value is determined for each of the plurality of clusters based on the degree of the natural language text similarity of respective target fields in grouped incidents of the cluster from among the plurality of incidents, and based on respective evaluation fields. Each of the plurality of clusters is ranked based on the respective quality value of the cluster and a number of the grouped incidents of the cluster. At least one of the ranked plurality of clusters is identified to perform a service management operation.

Claim (Index 1):
A method for analyzing incidents based on natural language text similarity to identify similar types of incidents, the method comprising:\n receiving, via a graphical user interface, input values for a cluster identification operation, wherein the input values comprise a client instance identifier that identifies a client instance and a target field identifier that identifies a text-based field completed in natural language; extracting historical incident report data for a plurality of incidents from one or more databases using the client instance identifier; grouping the plurality of incidents into a plurality of clusters based on a degree of natural language text similarity of respective target fields in the plurality of incidents; ranking the plurality of clusters based at least on respective numbers of grouped incidents in individual clusters of the plurality of clusters; generating text descriptions for respective clusters of the plurality of clusters; and providing for display a graphical representation of the plurality of clusters that highlights similar types of incidents by volume, wherein the graphical representation includes the respective text descriptions and the respective numbers of grouped incidents for the respective clusters, and wherein the respective clusters are arranged within the graphical representation based at least in part on the ranking.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.75439
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15723731', '15939602', '15202113', '15939609', '15809889']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2931533686801912
- 35 USC 102 Novelty (BERT): 0.5289735127200267
- Combined Prediction Score: 0.3167353830841748
- Mean Citation Score: 249.402038
- Max Citation Score: 358.44775
- Similarity Product: 289.07722047217186

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