Text Classification of Legitimate and Rogue online Privacy Policies: Manual Analysis and a Machine Learning Experimental Approach
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2016. , p. 59
Keywords [en]
Privacy policy, legitimate, rogue, text-classification, training, testing, learning algorithms
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-13363OAI: oai:DiVA.org:bth-13363DiVA, id: diva2:1045553
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Presentation
2016-09-28, J1630, BTH, Karlskrona, 03:00 (English)
Supervisors
2016-11-222016-11-102018-01-13Bibliographically approved