PATENT CLAIM ANALYSIS

Application Number: 16125251
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["707", "737000"]

Abstract:
An exemplary method may comprise receiving a matrix for a set of documents, each cell of the matrix including a frequency value indicating a number of instances of a corresponding text segment in a corresponding document, receiving an indication of a relationship between two text segments, each of the two text segments associated with a first column and a second column, respectively, of the matrix, adjusting, for each document, a frequency value of the second column based on the frequency value of the first column, projecting each frequency value into a reference space to generate a set of projection values, identifying a plurality of subsets of the reference space, clustering, for each subset of the plurality of subsets, at least some documents that correspond to projection values, and generating a graph of nodes, each of the nodes identifying one or more of the documents corresponding to each cluster.

Claim (Index 21):
The system of  claim 14 , wherein projecting each frequency value comprises projecting each frequency value, including each of the adjusted frequency values, into the reference space to generate the set of projection values in the reference space.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 97.0
- Lexical Diversity: 2.37681
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14533058', '15806265', '15896030', '14481546', '14639954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1943002326597765
- 35 USC 102 Novelty (BERT): 0.553481415141248
- Combined Prediction Score: 0.2302183509079236
- Mean Citation Score: 241.85292400000003
- Max Citation Score: 406.13974
- Similarity Product: 373.4638135346282

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