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archivedassignments:text_mining_with_kpmg [2016/11/29 11:02] (current)
hverbeek
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 +====== Text Mining with KPMG ======
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 +Together with KPMG’s department on sustainability,​ we are looking for a Master student interested in text- and datamining. ​
 +Part of KPMG’s job is to judge yearly reports on the topic of sustainability. This task is currently done by manually assessing the sentiment of a yearly report against the actual measureable sustainability values to see if the report is too optimistic or too pessimistic.
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 +The goal of this project is to see if this can be done automatically through text- and datamining. KPMG has a large body of test and training data available for the student to start comparing reports. In depth knowledge of both supervised and unsupervised techniques will be needed for this project. ​
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 +KPMG is a highly competitive company. Therefore, they are looking for a CSE or BIS Master student on track for a Cum-Laude (i.e. an average grade of 8). Furthermore,​ the student should have a strong interest in datamining. A selection process within KPMG is part of the hiring procedure.
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 +===== Contact =====
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 +For more information,​ contact [[https://​www.tue.nl/​staff/​b.f.v.dongen|Boudewijn van Dongen]]
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 +| {{:​images:​kpmg.jpg?​direct&​200|}} |
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