Corpus ID: 60144418

Using Textual Emotion Extraction in Context-Aware Computing

@inproceedings{Daubenschuetz2015UsingTE,
  title={Using Textual Emotion Extraction in Context-Aware Computing},
  author={Tim Daubenschuetz},
  year={2015}
}

Tim Daubenschuetz

Published 2015

Computer Science

In 2016, the number of global smartphone users will surpass 2 billion. The common owner uses about 27 apps monthly. On average, users of SwiftKey, an alternative Android software keyboard, type approximately 1800 characters a day. Still, all of the user-generated data of these apps is, for the most part, unused by the owner itself. To change this, we conducted research in Context-Aware Computing, Natural Language Processing and Affective Computing. The goal was to create an environment for… CONTINUE READING

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