PATENT CLAIM ANALYSIS

Application Number: 15919811
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
A learning device includes a memory and a processor configured to execute a process including acquiring a plurality of documents, clustering the plurality of documents with respect to each of a first plurality of words, the first plurality of words being included in the plurality of documents, assigning a common label to a first word and a second word among the first plurality of words in a case where a cluster relating to the first word and a cluster relating to the second word resemble each other, and re-clustering, on the basis of the common label, the plurality of documents including the first word and the second word after the assigning the common label.

Claim (Index 14):
The learning method according to  claim 9 , further comprising:\n extracting the first plurality of words from the plurality of documents so as to generate a word dictionary; and generating a context representing whether or not each of the plurality of documents includes each of the first plurality of words included in the word dictionary, and wherein the clustering is processing of clustering the context.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 2.68889
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13845989', '13263280', '11118156', '14246404', '13177849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2228324480328052
- 35 USC 102 Novelty (BERT): 0.4926855525579277
- Combined Prediction Score: 0.2498177584853174
- Mean Citation Score: 181.320752
- Max Citation Score: 211.44475
- Similarity Product: 153.09286284403504

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