Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics

@article{Cambria2013SenticBS,
  title={Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics},
  author={Erik Cambria and Newton Howard and Jane Hsu and Amir Hussain},
  journal={2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)},
  year={2013},
  pages={108-117}
}
The capability of interpreting the conceptual and affective information associated with natural language through different modalities is a key issue for the enhancement of human-agent interaction. The proposed methodology, termed sentic blending, enables the continuous interpretation of semantics and sentics (i.e., the conceptual and affective information associated with natural language) based on the integration of an affective common-sense knowledge base with any multimodal signal-processing… CONTINUE READING
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