An evaluation of BERT applied for AIOps

Engineering

• Artificial Intelligence 100%
• Testing Set 66%
• Outages 66%
• Natural Language Processing 66%
• Systems Performance 33%
• Model Parameter 33%
• Key Performance Indicator 33%
• Management Process 33%
• Text Data 33%
• Error Message 33%
• Metrics 33%
• Data Stream 33%
• Operation Team 33%
• Opinion Mining 33%

Computer Science

• Bidirectional Encoder Representations From Transformers 100%
• Artificial Intelligence 100%
• Natural Language Processing 12%
• Service Management 12%
• Systems and Application 6%
• Sentiment Analysis 6%
• Data Stream 6%
• Log Analysis 6%
• Performance Metric 6%
• Preprocessing 6%
• Text Classification 6%
• Training Data 6%
• Management Data 6%
• Performance Model 6%
• Application Component 6%
• Incident Report 6%
• Named Entity Recognition 6%
• Log Data 6%
• Detect Anomaly 6%
• Process Management 6%
• Analytic Approach 6%
• Actual Incident 6%
• Preventative Measure 6%
• Operation Team 6%
• Infrastructure Component 6%
• Systems Performance 6%
• Key Performance Indicator 6%
• Incident Management 6%
• It Infrastructures 6%
• Behavior Pattern 6%