SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis

  title={SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis},
  author={Erik Cambria and Daniel J. Olsher and Dheeraj Rajagopal},
SenticNet is a publicly available semantic and affective resource for concept-level sentiment analysis. Rather than using graph-mining and dimensionality-reduction techniques, SenticNet 3 makes use of ‘energy flows’ to connect various parts of extended common and common-sense knowledge representations to one another. SenticNet 3 models nuanced semantics and sentics (that is, the conceptual and affective information associated with multi-word natural language expressions), representing… CONTINUE READING
Highly Influential
This paper has highly influenced 27 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 247 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 146 extracted citations

247 Citations

Citations per Year
Semantic Scholar estimates that this publication has 247 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 38 references

Sentic Computing: Techniques, Tools, and Applications

  • E. Cambria, A. Hussain
  • Dordrecht, Netherlands: Springer.
  • 2012
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…