AI NLP ModelCase Study
Building a text extraction model to leverage relevant information from various text documents allows classification of document fields and search UI.
AI-based NLP Model for Corporate Strategy
Client lacked the ability to skim through subsections of documents. So, we built a text extraction model, which leveraged relevant information from various text documents to cluster and interpret sections.
- Scrape the required documents from various online and offline databases
- Clean-up the data to be in the right format and extract the right set of key words
- Create vectors based on the right set of similar attributes
- Leverage algorithms such as Levenshtein distance, cosine similarity to build the final score of the model
- Meaningful outcome to random text documents
- Classification of the document fields and a search UI to skim through the sub-sections of documents
Have a question for
Helping you is our business. We make complicated solutions simpler, every day. Ask us anything, we usually respond within 24 hours. Leverage our technical and subject matter business experts to help you scale to new heights – Our passion is to make our customers successful and achieve their business outcomes.
- Industry Specific Use Cases
- Vision Creation & Strategic Roadmaps
- Data Warehouse Implementations & Migrations
- Advanced Analytics & AI
- Data Harmonization and Visualization
- Modernize data platforms and analytics architecture
- Accelerate business adoption and benefits realization