|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Enhanced SenticNet with affective labels for concept-based opinion mining|
|Citation:||Poria S, Gelbukh A, Hussain A, Howard N, Das D & Bandyopadhyay S (2013) Enhanced SenticNet with affective labels for concept-based opinion mining, IEEE Intelligent Systems, 28 (2), pp. 31-38.|
|Abstract:||SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.|
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|IS-28-02.pdf||1.88 MB||Adobe PDF||Under Permanent Embargo Request a copy|
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