This paper presents a novel story construction system to track the evolution of stories in an online fashion. The proposed system uses a novel sliding window solution, named Inching Window, allowing the processing of each new data element on-the-fly. To assign a new data element into a community in a fast and memory-efficient manner, we apply the modularity maximization idea of Louvain method on-the-fly. As part of the experimental validation, we provide step by step construction of a meaningful news story and support the case with a set of visualizations.
@article{arxiv.2007.10399,
title = {Automatic Story Construction from News Articles in an Online Fashion},
author = {Özgür Can and Selma Tekir},
journal= {arXiv preprint arXiv:2007.10399},
year = {2020}
}