Contribute to the Harmony open source NLP project Are you a scientist, researcher, data wrangler, or language maestro? Harmony needs YOU! We’re always looking for talented individuals to join our team. Contribute to our open-source code: Whether you’re a seasoned developer or a curious newbie, your contributions are valued. Join the conversation: Join our Discord server, or follow us on Twitter, LinkedIn, and other social media channels. Getting started Participating in an open source project can be very rewarding.
Harmony update: new features and bug fixes We are pleased to announce the release of a new update to Harmony, our online platform for harmonising questions. This update includes a number of new features and bug fixes, designed to improve the user experience and make Harmony even more useful for researchers. New features: Complete reworking of the search functionality: The search functionality in Harmony has been completely rewritten to support Lucene-like queries.
This notebook shows how you can use Harmony to find the similarity matrix between two questionnaires: the CBCL and GOASSESS. The Harmony project is a data harmonisation project that uses Natural Language Processing to help researchers make better use of existing data from different studies by supporting them with the harmonisation of various measures and items used in different studies. Harmony was developed as a collaboration between Ulster University, University College London, the Universidade Federal de Santa Maria, and Fast Data Science.
We are excited to announce that Harmony, a Natural Language Processing tool for data harmonisation, is now available on the Comprehensive R Archive Network CRAN! Previously, Harmony R could be installed using devtools. Harmony can be used to compare questionnaire items across studies, find the best match for a set of items, and identify different versions of the same questionnaire. Harmony is a collaboration project between Ulster University, University College London, the Universidade Federal de Santa Maria, and Fast Data Science.
We have developed the R package for Harmony. To get started, you need R installed on your system. Click here to try an example in Google Colab. Here’s a Jupyter Notebook with an example using Harmony in R Installing R library We are currently submitting the R library to CRAN. In the meantime, you can install the development version of harmonydata from GitHub (documentation in the README file): You also need devtools which will already be there if you are using R Studio.
Here’s a quick start guide to running Harmony. These instructions are for the complete version of Harmony including the graphical browser-based tool which is available online at https://harmonydata.ac.uk/app/. If you only need the Python or R libraries, or the REST API, please refer to our Github page. You will need to first download and install a couple of programs that Harmony needs to run. You need a computer with at least 16 GB RAM – in other words, a fairly high-end computer.
