Update: you can download the slides from the presentation here
Topic: NLP and generative models for psychology research
Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires.
Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.
This is called harmonisation.
Harmonisation is a time consuming and subjective process.
Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
We’ve been working on an open source Python library and free web tool called Harmony which uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.
📅 Date: 2 July 2024
🕘 Time: 7pm
🏢 Where: EC4R 3AD
New Feature in Development: Enhancing Harmony with User-Centred Discovery At Harmony, we’re working on a new feature aimed at making data exploration and analysis even more efficient and intuitive. To ensure this feature addresses real needs, we’re conducting co-design sessions with researchers, data-managers and other users, allowing us to develop a tool that solves real-life user requirements. The Co-Design Approach: Co-design allows us to build this feature with direct input from those who will use it most.
We have a few more issues that have been added to the issue trackers. If you are new and would like to make a pull request in either the Python or R libraries feel free to pick these up - they should be quite small. Easy issues in Python library We would like to expose the “between instrument matches” and the “negation” switches in the Python library and then from the API side.