PATENT CLAIM ANALYSIS

Application Number: 15889168
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["704", "009000"]

Abstract:
Techniques for improving machine learning and text classification are described. The described techniques include improved processes for collecting training data to train a machine classifier. Some data sets are very large but contain only a small number of positive or negative training examples. The described text classification system obtains training examples by intelligently identifying documents that are likely to present or identify positive or negative training examples. The text classification system employs these techniques to train a classifier to categorize patent claims according some legal rule, such as subject-matter eligibility under 35 U.S.C. 101.

Claim (Index 1):
A method for classifying text, the method comprising:\n determining a set of documents that are each likely to identify another document that can serve as a text classification training example; processing the determined set of documents to identify those that identify a training example document; generating a set of training examples that are obtained based on the identified documents; and training a first machine learning model with the set of training examples.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.55385
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13000025', '12658165', '13632943', '13310510', '14630751']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2364920590306898
- 35 USC 102 Novelty (BERT): 0.4587366714928723
- Combined Prediction Score: 0.258716520276908
- Mean Citation Score: 118.17263
- Max Citation Score: 129.53055
- Similarity Product: 96.61512778801918

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

Dataset: test