Grant agreement: Academy of Finland no. 345610
Start date: 01-01-2022
Duration: 24 months
WP 3.3: Report on R package for data concept network
Date of reporting: 2023-11
Report author: Maria Valaste (University of Helsinki)
Contributors: Adeline Clarke (University of Helsinki), Ida Toivanen (University of Jyväskylä), Jani-Matti Tirkkonen (University of Eastern Finland), Jaakko Peltonen (Tampere University)
Deliverable location: Several repositories in Github are published (see below).
The aim of WP3.3 is to enhance the utilization of unstructured qualitative textual in the context of Finnish surveys with the use of a concept network tool. The purpose of this toolbox is to build a bridge from not-very-NLP-coding-apt social science researchers towards the computational NLP community’s text analytics methods and processes that might be useful for understanding the results of their survey.
This deliverable is R package, which brings together tools for Finnish-language data for open-ended question analysis. In addition to the analysis tools, the R package contains a sample dataset to familiarise the user with the functions of the package. This has been built on the basis of the previous deliverable 3.3.1.
https://github.com/DARIAH-FI-Survey-Concept-Network/finnishsurveytext (will be published)