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Text Classification of Legitimate and Rogue online Privacy Policies: Manual Analysis and a Machine Learning Experimental Approach
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Computer Science)
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2016. , 59 p.
Keyword [en]
Privacy policy, legitimate, rogue, text-classification, training, testing, learning algorithms
National Category
Computer Science
URN: urn:nbn:se:bth-13363OAI: diva2:1045553
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
2016-09-28, J1630, BTH, Karlskrona, 03:00 (English)
Available from: 2016-11-22 Created: 2016-11-10 Last updated: 2016-11-23Bibliographically approved

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Rekanar, Kaavya
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