TY - GEN
T1 - SenticNet 2
T2 - 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
AU - Cambria, Erik
AU - Havasi, Catherine
AU - Hussain, Amir
PY - 2012
Y1 - 2012
N2 - Web 2.0 has changed the ways people communicate, collaborate, and express their opinions and sentiments. But despite social data on the Web being perfectly suitable for human consumption, they remain hardly accessible to machines. To bridge the cognitive and affective gap between word-level natural language data and the concept-level sentiments conveyed by them, we developed SenticNet 2, a publicly available semantic and affective resource for opinion mining and sentiment analysis. SenticNet 2 is built by means of sentic computing, a new paradigm that exploits both AI and Semantic Web techniques to better recognize, interpret, and process natural language opinions. By providing the semantics and sentics (that is, the cognitive and affective information) associated with over 14,000 concepts, SenticNet 2 represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, multimodal affective HCI, and social media marketing.
AB - Web 2.0 has changed the ways people communicate, collaborate, and express their opinions and sentiments. But despite social data on the Web being perfectly suitable for human consumption, they remain hardly accessible to machines. To bridge the cognitive and affective gap between word-level natural language data and the concept-level sentiments conveyed by them, we developed SenticNet 2, a publicly available semantic and affective resource for opinion mining and sentiment analysis. SenticNet 2 is built by means of sentic computing, a new paradigm that exploits both AI and Semantic Web techniques to better recognize, interpret, and process natural language opinions. By providing the semantics and sentics (that is, the cognitive and affective information) associated with over 14,000 concepts, SenticNet 2 represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, multimodal affective HCI, and social media marketing.
UR - https://www.scopus.com/pages/publications/84864992296
M3 - Conference contribution
AN - SCOPUS:84864992296
SN - 9781577355588
T3 - Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
SP - 202
EP - 207
BT - Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Y2 - 23 May 2012 through 25 May 2012
ER -