%0 Conference Paper %1 AAAI148479 %A Cambria, Erik %A Olsher, Daniel %A Rajagopal, Dheeraj %B AAAI Conference on Artificial Intelligence %D 2014 %K SenticNet knowledge_base ontology sentimental_analysis sentiments %T SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis %U http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8479 %X 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 information with a symbolic opacity of an intermediate nature between that of neural networks and typical symbolic systems.

@inproceedings{AAAI148479, abstract = {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 information with a symbolic opacity of an intermediate nature between that of neural networks and typical symbolic systems.}, added-at = {2016-01-08T04:04:02.000+0100}, author = {Cambria, Erik and Olsher, Daniel and Rajagopal, Dheeraj}, biburl = {https://www.bibsonomy.org/bibtex/2b5b96483f039c05804279afbf3b7bd2e/hangdong}, booktitle = {AAAI Conference on Artificial Intelligence}, interhash = {fb91b52c3617d138355e65c6536700ef}, intrahash = {b5b96483f039c05804279afbf3b7bd2e}, keywords = {SenticNet knowledge_base ontology sentimental_analysis sentiments}, timestamp = {2016-01-08T04:04:02.000+0100}, title = {SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis}, url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8479}, year = 2014 }