Now showing items 1-5 of 5

    • Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations 

      Jiao, Yuwei (University of Waterloo, 2018-11-06)
      Sentiments and emotions play essential roles in small group interactions, especially in self-organized collaborative groups. Many people view sentiments as universal constructs; however, cultural differences exist in some ...
    • Measuring & Mitigating Electric Vehicle Adoption Barriers 

      Tommy, Carpenter (University of Waterloo, 2015-01-19)
      Transitioning our cars to run on renewable sources of energy is crucial to addressing concerns over energy security and climate change. Electric vehicles (EVs), vehicles that are fully or partially powered by batteries ...
    • Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets 

      Fu, Chengyao (University of Waterloo, 2020-09-28)
      Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}. The ...
    • Topical Opinion Retrieval 

      Skomorowski, Jason (University of Waterloo, 2007-01-18)
      With a growing amount of subjective content distributed across the Web, there is a need for a domain-independent information retrieval system that would support ad hoc retrieval of documents expressing opinions on a specific ...
    • Unsupervised Aspect Discovery from Online Consumer Reviews 

      Suleman, Kaheer (University of Waterloo, 2014-05-02)
      The success of on-line review websites has led to an overwhelming number of on-line consumer reviews. These reviews have become an important tool for consumers when making a decision to purchase a product. This growth has ...

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