![]() ![]() Thus, our model contributes to the incorporation of technology in the peace building and conflict resolution sector. Note: These are aggregated data files organized by country-year and country-month. This minimizes the human supervision cost and allows nonprofits to access a broader range of conflict data sources to reduce reporting bias. Nigeria - Conflict Events This dataset is part of the Nigeria Data Grid A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Nigeria. Our model drastically reduces the time spent on manual data transformations and improves armed conflict event classification by identifying multiple incidence types. In this paper, we explore the use of a deep natural language processing (NLP) model to aid the transformation of armed conflict data for conflict analysis. ![]() Transformation of armed conflict data tends to be a manual, time-consuming task that nonprofits with limited budgets struggle to keep up with. Due to the lack of a standardized approach to collating conflict data, publicly available armed conflict datasets often require manipulation depending upon the needs of end users. Abstract : Conflict resolution practitioners consistently struggle with access to structured armed conflict data, a dataset already rife with uncertainty, inconsistency, and politicization.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |