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 20):
The system of  claim 19 , wherein the user interface module is further configured to:\n display output that highlights one or more terms from the patent claim to indicate a positive or negative association between each term and patent eligibility, wherein the user interface module further includes a control configured to select a threshold that establishes a cutoff below which claim terms will not be highlighted; and display suggested alternative terms for those terms that are negatively associated with patent eligibility.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.55385
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13000025', '12658165', '13632943', '13310510', '14630751']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2547706104567613
- 35 USC 102 Novelty (BERT): 0.4794952203154128
- Combined Prediction Score: 0.2772430714426265
- Mean Citation Score: 118.17263
- Max Citation Score: 129.53055
- Similarity Product: 83.85974851621984

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

Dataset: test