Semantic analysis uses Natural Language Processing (NLP) and Machine Learning to interpret and derive meaning from human language. Erudit’s psychologists use this to train the AI to accurately detect wellbeing indicators from communications data.
Erudit focuses workforce intelligence that empowers better executive decisions. So our AI is trained to diagnose metrics that affect the bottom line: Burnout Risk, Engagement, and Turnover Risk. Erudit also identifies issues affecting employees and measures their impact.
Erudit’s AI is continuously improved by experts to give accurate, real-time metrics and analysis.
Anonymize & Filter
First, the AI ensures anonymity. Data is also filtered to remove noise and maintain relevant messages.
Annotate & Detect
Using deep learning models trained from psychologists’ insights, the AI detects burnout risk, engagement, and turnover risk from phrases.
Cluster & Predict
The AI performs semantic clustering to group messages with a similar meaning. A cluster becomes a shockwave when it has a significant impact on employees.
Visit our Knowledge Hub and download reports by our AI team.
ShockwaveTalks: Get to know The New Workforce with Slack’s Senior Recruiter