The client is a Fortune 500 company, a leading conglomerate and one of the biggest private sector corporations. The company extends cutting-edge products and services across energy, petrochemicals, textiles, natural resources, retail and telecommunications.
The Business Situation
Diaspark helped the client with a text mining solution to encode semantics of natural language elements for a simple English language search query. Our development team implemented a configurable NLP pipeline using a prototype of algorithms to return relevant visualized graphical data as output.
- Integration of a NLP pipeline into the system that converts input in normal English language into SQL statement from the schema integrated
- Implementation of the process of data abstraction using Python & framework Flask for textual analysis including text categorization, phrasing, semantic analysis etc.
- Conversion of text to graphs using Matplotlib plotting library for comparisons of datasets having different domains
- Generation of results in form of visual representations such as pie charts, bar graphs etc.
- Augmented the spectrum of HR operations and compliance with actionable data points
- Speedy decision making for internal teams with ad-hoc report generation
- Improved turnaround time, boost efficiencies and discovery experience through automation
- Provided a 360-degree view of structured and unstructured data by unlocking actionable insights
- Enhanced knowledge sharing, planning, and exploration of HR operations with digitized search and analytics across data