Information flow identification in large email datasets
Arseniy Akuney · cIRcle (University of British Columbia) · 2011
Identifying information flow in emails is an important, yet challenging task. In this work we investigate several algorithms for identifying similar sentences in large email datasets, as well as an algorithm for reconstructing threads from unstructured emails. We present a detailed evaluation of each algorithm in terms of accuracy and time performance. We also investigate the usage of cloud computing in order to increase computational efficiency and make information discovery usable in real time.