TY - UNPB
T1 - Data Innovation for International Development
T2 - An overview of natural language processing for qualitative data analysis
AU - Broniecki, Philipp
AU - Hanchar, Anna
AU - Mikhaylov, Slava J.
PY - 2017/9/16
Y1 - 2017/9/16
N2 - Availability, collection and access to quantitative data, as well as its limitations, often make qualitative data the resource upon which development programs heavily rely. Both traditional interview data and social media analysis can provide rich contextual information and are essential for research, appraisal, monitoring and evaluation. These data may be difficult to process and analyze both systematically and at scale. This, in turn, limits the ability of timely data driven decision-making which is essential in fast evolving complex social systems. In this paper, we discuss the potential of using natural language processing to systematize analysis of qualitative data, and to inform quick decision-making in the development context. We illustrate this with interview data generated in a format of micro-narratives for the UNDP Fragments of Impact project.
AB - Availability, collection and access to quantitative data, as well as its limitations, often make qualitative data the resource upon which development programs heavily rely. Both traditional interview data and social media analysis can provide rich contextual information and are essential for research, appraisal, monitoring and evaluation. These data may be difficult to process and analyze both systematically and at scale. This, in turn, limits the ability of timely data driven decision-making which is essential in fast evolving complex social systems. In this paper, we discuss the potential of using natural language processing to systematize analysis of qualitative data, and to inform quick decision-making in the development context. We illustrate this with interview data generated in a format of micro-narratives for the UNDP Fragments of Impact project.
KW - cs.CL
U2 - 10.48550/arXiv.1709.05563
DO - 10.48550/arXiv.1709.05563
M3 - Preprint
BT - Data Innovation for International Development
PB - arXiv
ER -