PATENT CLAIM ANALYSIS

Application Number: 15928431
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
A learning apparatus includes a memory and a processor configured to acquire a plurality of documents, perform clustering of the plurality of documents for each of a plurality of words included in the plurality of document, when a plurality of clusters are generated for a first word among the plurality of words by the clustering, perform assignment of different labels corresponding to the plurality of clusters to the first word included in the plurality of documents, and perform re-clustering of the plurality of documents including the first word with the assigned different labels, for other words among the plurality of words.

Claim (Index 11):
The learning method according to  claim 7  further comprising:\n determining whether or not a plurality of second clusters for a second word among the other words are generated as a result of the re-clustering; \n when the plurality of second clusters are generated for the second word, assigning different labels corresponding to the plurality of second clusters to the second word; and \n performing other re-clustering of the plurality of documents including the second word with the assigned different labels.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 90.0
- Lexical Diversity: 2.54762
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13263280', '13667729', '14676680', '13190891', '13845989']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2554440957549861
- 35 USC 102 Novelty (BERT): 0.4889075366846193
- Combined Prediction Score: 0.2787904398479495
- Mean Citation Score: 175.539214
- Max Citation Score: 199.45448
- Similarity Product: 134.5087550755167

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

Dataset: test