Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7497999 | Transport Policy | 2014 | 9 Pages |
Abstract
The results demonstrate both the volume and pertinence of the information obtained. Whilst text-mining techniques have been applied in a number of other sectors (notably entertainment, business and the political arena), the use of information in the transport sector has some unique features that stem from both day-to-day operational practices and the longer term decision making processes surrounding the transport system - hence the significance and novelty of the results reported here. Many challenges in refining the methodology and techniques remain for future research, however the outcomes presented here are of relevance to a wide range of stakeholders in the transport and text mining fields.
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Authors
Ayelet Gal-Tzur, Susan M. Grant-Muller, Tsvi Kuflik, Einat Minkov, Silvio Nocera, Itay Shoor,