Unveiling DAO Objectives: A Textual Analysis and Topic Modeling Approach

Abstract

The present research utilizes Topic Modelling as a methodology to acquire a deeper understanding of the goals and operations of Decentralised Autonomous Organisations (DAOs). This is achieved by examining textual data derived from the proposals put forth by these organizations. The issue at hand pertains to comprehending the multitude of ideas inside Decentralised Autonomous Organisations (DAOs) and their alignment with the respective objectives of these entities. Through the application of Topic Modelling, we aim to investigate textual patterns, identify topics, and discern significant themes within the decentralized autonomous organization (DAO) ecosystem. This research endeavor seeks to address the existing research gaps pertaining to the alignment of proposals with organizational objectives. This research aims to fill these knowledge gaps by examining the unique thematic priorities of various decentralized autonomous organizations (DAOs), providing insights into their functions, and elucidating their involvement in investment, community, technological, and monetary issues. Through the utilization of experimental research, this research provides DAO stakeholders with the ability to make wellinformed judgements, prioritize ideas, and customize methods in order to more effectively match with their distinct missions and objectives. Consequently, this research contributes to the enhancement of operational efficiency and governance within DAOs.