Built a custom NLP dictionary to speed information retrieval
To run text mining and machine learning algorithms, our client needed a dictionary of technical terms relevant to their domain. As a proof of concept, we created a custom dictionary for AI solutions. The project enabled the client to automate review of highly technical documents to accelerate information extraction.
Identify trends and insights from unstructured data
Researchers needed a more efficient way to access complex information. We developed state of the art NLP algorithms to analyze 1000’s of emails, reports, and regulatory filings. Key facts and select data were indexed into a knowledge network for easy retrieval, enabling our client to quickly gain valuable insights for faster decisions and filings.
Find co-occurring events and conditions to improve operations
We extracted co-factors from Event Incident Reports that helped to identify new patterns. Text mining was used to find commonalities in causes to help improve safety and reliability in plant operations. These co-occurring events were hidden within text and could only be discovered with natural language processing and text mining.