< Back to previous page

Project

iCANDID: Improving Interdisciplinary and Cross-Cultural Discourse Analysis with Data Mining Tools

Invigorated by digitisation, information flows in society have been fundamentally altered. Not only does content travel faster than ever before, but it comes at us in evergrowing
volumes through many formats and platforms. In a digitised world, researchers may stand out if they can retrieve and analyse complete and accurate dataset. iCANDID, our proposed infrastructure, will provide innovative and integrated access to various types of textual and audio-visual material harvested from freely accessible online resources (e.g. social media) and proprietary repositories (e.g. LexisNexis, GoPress and ENA). iCANDID will make it possible to efficiently search for relevant texts and fragments among huge quantities of unstructured data.
The new infrastructure will improve analytical quality by leaps and bounds owing to the scope of the data analyses, allowing for longitudinal, cross-media and cross-country integration of ‘texts’. Rather than simply combining small or fragmentary perspectives, iCANDID will help discover previously hidden meaningful connections. iCANDID boasts superior export functionalities, so that existing analytical tools for quantitative and qualitative textual analysis as well as software tools for automated visual analysis will become accessible to every researcher who relies on large datasets of socially significant data. Once relevant datasets have  been extracted from primary data, big data analyses as wel as social network analyses can be performed. 

Date:1 May 2018 →  30 Apr 2022
Keywords:data mining tools
Disciplines:Communications, Communications technology