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  1. ; ; ; (, Proceedings of 2022 REUNS Workshop)
    Privacy policies contain important information regarding the collection and use of user’s data. As Internet of Things (IoT) devices have become popular during the last years, these policies have become important to protect IoT users from unwanted use of private data collected through them. However, IoT policies tend to be long thus discouraging users to read them. In this paper, we seek to create an automated and annotated corpus for IoT privacy policies through the use of natural language processing techniques. Our method extracts the purpose from privacy policies and allows users to quickly find the important information relevant to their data collection/use. 
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