Applying ML & NLP in Qualitative Research Activities
summary
Headai presents a cognitive‑style language model built from millions of words and trained on news, job ads, contracts and curricula to produce real‑time skill demand maps. The system claims to handle Finnish morphology and 100,000–200,000 active words, create detailed individual digital self profiles that plug into LMSes with a few lines of code, convert ontologies (converts ONET↔ESCO↔ISCO) and runs in production with almost 100 clients.
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chapters (10)
- 0:00Introduction and greetings
- 1:04Challenges in text data analysis
- 5:48Building a general language model
- 6:48Real-time labor market analytics
- 9:18Comparing labor market demands
- 11:22Mapping education to labor market
- 15:18Digital self for career development
- 16:44Long-term skill predictions
- 18:35Technical challenges in interoperability
- 22:29Current adoption and future outlook
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