Authors: M. Lamba and F.A. Santosa

Coconut Libtool

Textual analysis remains challenging for researchers, students and practitioners without programming expertise, creating barriers in social sciences and humanities research. To overcome that barrier, we developed Coconut Libtool, a web-based application that makes advanced textual analysis and visualization accessible to everyone.

Authors: M. Lamba, Y. Peng, S. Nikolov, and J. S. Downie

Human Annotated Acknowledgment Dataset

Acknowledgments are the most overlooked part of a scientific publication that is often taken for granted.Examining the acknowledgment sections of dissertations is crucial for understanding the cultural aspects embedded within academic practices and their impact on wider societal values and norms. We introduce an ongoing project involving a manually coded dataset consisting of acknowledgment sentences derived from dissertations sourced from the institutional repository of the University of Illinois Urbana-Champaign.

Improve Parsing of ETDs

Creating approaches for parsing author, advisor and degree metadata from electronic theses and dissertations (ETDs), recognising the distinct challenges and opportunities presented by this important type of scholarly output.

Authors: C. Barnett, M. FitzGerald, K. Krumbholz, and M. Lamba (Equal Contribution)

Gender and Politics Research

This application provides access to the data presented and discussed in Carolyn Barnett, Michael FitzGerald, Katie Krumbholz, and Manika Lamba, “Gender Research in Political Science Journals: A Dataset,” PS: Political Science and Politics, 2022.