PATENT CLAIM ANALYSIS

Application Number: 16030481
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["717", "122000"]

Abstract:
Techniques for cognitive interpretation of source code are provided. Metadata associated with a section of code in a software project is analyzed to determine a change history of the section of code. A plurality of discussions related to the section of code is evaluated, where each of the plurality of discussions occurred during a code review process. Further, a plurality of support records related to the section of code is analyzed. A sentiment score for the section of code is determined based on the associated metadata, the evaluation of the plurality of discussions, and the analysis of the plurality of support records. Additionally, a display color for the section of code is selected based on the sentiment score. Finally, generation of a graphical user interface (GUI) is facilitated, where the GUI displays the first display color in association with the first section of code.

Claim (Index 2):
The method of  claim 1 , wherein evaluating the first plurality of discussions further comprises:\n parsing each respective discussion of the first plurality of discussions using one or more natural language processing (NLP) models to identify respective information including: (i) a number of times participants in the respective discussion exceeded a predefined threshold volume, (ii) a number of exclamations in the respective discussion, and (iii) a number of negative expressions in the respective discussion; and determining a respective negativity score for each respective discussion of the first plurality of discussions based on the identified respective information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.46154
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14552486', '14194510', '14681474', '15098201', '13210116']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3554440770168927
- 35 USC 102 Novelty (BERT): 0.5118783310546398
- Combined Prediction Score: 0.3710875024206674
- Mean Citation Score: 178.99551200000005
- Max Citation Score: 195.83086
- Similarity Product: 130.5108042777467

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