{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T20:27:42Z","timestamp":1743798462300},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"\n \n 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.\n \n <\/jats:p>","DOI":"10.1609\/aaai.v28i1.8928","type":"journal-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T09:50:32Z","timestamp":1655977832000},"source":"Crossref","is-referenced-by-count":193,"title":["SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis"],"prefix":"10.1609","volume":"28","author":[{"given":"Erik","family":"Cambria","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Olsher","sequence":"additional","affiliation":[]},{"given":"Dheeraj","family":"Rajagopal","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2014,6,21]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/8928\/8787","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/8928\/8787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T09:50:33Z","timestamp":1655977833000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/8928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,21]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2014,8,1]]}},"URL":"https:\/\/doi.org\/10.1609\/aaai.v28i1.8928","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2014,6,21]]}}}