AI Solutions to Better Use Textual Qualitative Survey Data

Leader: Krista Lagus, University of Helsinki/SOC; Partners: CSC, JYU, UEF; Collaborators: UTU, TAU

The foreseen impact is to provide infrastructure that enables better use of textual qualitative survey data that is a basic method for data collection in SSH. We currently have tools to analyse large-scale numeric survey data, but we also need tools to analyse unstructured qualitative textual data in Finnish surveys. Especially in large datasets with thousands of respondents such textual data is laborious to analyse without computer-assisted tools. We will deliver a software package for the discovery of a network of related concepts from unstructured texts in Finnish, using a combination of AI and human input and a preliminary user interface for browsing and searching the results. The reliability of the developed solution is assessed through pilot studies using the existing datasets from the Centre of Excellence in Research on Ageing and Care (JYU)

DARIAH-FI: YLEISET KYSYMYKSET

DARIAH-KONTTORI:

CSC – Tieteen tietotekniikan keskus

Katri Tegel

DARIAH-FI OFFICE:

Jyväskylä University

Tanja Välisalo

DARIAH-FI OFFICE:

University of Eastern Finland

Paula Rautionaho

DARIAH-FI OFFICE:

University of Oulu

Marika Rauhala

DARIAH-FI OFFICE:

Aalto University

Eero Hyvönen

DARIAH-FI OFFICE:

Tampere University

Sanna Kumpulainen

DARIAH-FI OFFICE:

National Library of Finland

Johanna Lilja

DARIAH-FI OFFICE:

CSC – IT Centre for Science

Katri Tegel

DARIAH-KONTTORI:

Suomen Kansalliskirjasto

Johanna Lilja

DARIAH-FI: GENERAL

DARIAH-KONTTORI:

TampereEN YLIOPISTO

Sanna Kumpulainen

DARIAH-KONTTORI:

Helsingin yliopisto

Risto Turunen

DARIAH-KONTTORI:

Aalto-yliopisto

Eero Hyvönen

DARIAH-KONTTORI:

Oulun yliopisto

Marika Rauhala

DARIAH-KONTTORI:

Itä-Suomen yliopisto

Paula Rautionaho

DARIAH-KONTTORI:

Jyväskylän yliopisto

Tanja Välisalo

DARIAH-KONTTORI:

Turun yliopisto

Veronika Laippala

DARIAH-FI OFFICE:

University of Turku

Veronika Laippala