Information flow identification in large email datasets
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 eac...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2011
|
| Online Access: | http://hdl.handle.net/2429/39847 |
| Summary: | 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. |
|---|