Now showing items 21-24 of 24

    • Text Mining to Understand Emotion Triggers 

      Chen, Liuyan (University of Waterloo, 2019-05-15)
      In computational linguistics, most sentiment analysis builds binary classification models on customer reviews data to predict whether a review is positive or negative. In this thesis, we go a step further and build ...
    • Text Mining to Understand Gender Issues: Stories from The Red Pill, Men's Rights, and Feminism Movements 

      Khan, Abeer (University of Waterloo, 2019-08-28)
      Addressing gender issues has become important worldwide. The United Nations (UN) endorses big data projects as a valuable tool to monitor its gender-related development goals. In this thesis, we first motivate the examination ...
    • TimeFabric: Trusted Time for Hyperledger Fabric 

      Mitra, Aritra (University of Waterloo, 2021-02-01)
      Since the advent of Bitcoin in 2008, the interest in blockchain technology has surged tremendously. Numerous applications have been proposed in the field of finance, healthcare, and supply chain over the last decade. And, ...
    • Towards a New Generation of Permissioned Blockchain Systems 

      Gorenflo, Christian (University of Waterloo, 2020-05-14)
      With the release of Satoshi Nakamoto's Bitcoin system in 2008 a new decentralized computation paradigm, known as blockchain, was born. Bitcoin promised a trading network for virtual coins, publicly available for anyone to ...

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