Case Study: a global US-based corporation’s HR department strengthens employee insights with InData Labs’ aspect-based sentiment analysis

a global US-based corporation analyzes 11 employee survey questions with InData Labs

The HR department of a global US-based corporation faced the challenge of analyzing a large volume of open-text responses from its annual employee survey. They needed to perform an aspect-based sentiment analysis to identify key problems and understand employee sentiment regarding various facets of corporate life. They engaged the vendor InData Labs for its natural language processing and AI development services to process the data.

InData Labs developed a solution using large language models, specifically LLAMA3 70B, to automatically extract and categorize aspects mentioned by employees, analyze sentiment, and generate comprehensive summaries. The results provided the HR department with actionable insights, including the most frequently cited aspects and supporting employee quotes. This enabled the client to quickly develop targeted strategies to strengthen the company's HR brand and focus on areas needing improvement.