- Government agencies need to get summarized versions of reports to quickly identify the most relevant ones.
- Deployed NLP technologies to enable government agencies to extract “Lessons Learned”from various types of documents
– PDF, Word, Text.
- Performed Extractive Summarization on documents using 6 different open source algorithms.
- Executed the winning algorithm over all documents to generate “Lessons Learned” summaries.
- Enabled User Feedback Loop with rating mechanism for identifying the best performing algorithm and evaluate the outcomes.
Technologies Used: Azure Cognitive Search, Azure Custom Skills, Open Source NLP Algorithms (NLTK), Python, Responsive HTML