Full Name
Erik Cambria
(not current staff)
Variants
Cambria, E.
 
Main Affiliation
 
 
Email
tslec@nus.edu.sg
 

Publications

Refined By:
Department:  TEMASEK LABORATORIES
Date Issued:  2013

Results 1-15 of 15 (Search time: 0.004 seconds).

Issue DateTitleAuthor(s)
12013A graph-based approach to commonsense concept extraction and semantic similarity detectionRajagopal, D.; Cambria, E. ; Olsher, D.; Kwok, K. 
22013An introduction to concept-level sentiment analysisCambria, E. 
3Apr-2013Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion miningCambria, E. ; Mazzocco, T.; Hussain, A.
415-Feb-2013Circular-ELM for the reduced-reference assessment of perceived image qualityDecherchi, S.; Gastaldo, P.; Zunino, R.; Cambria, E. ; Redi, J.
52013Common Sense Knowledge for Handwritten Chinese Text RecognitionWang, Q.-F.; Cambria, E. ; Liu, C.-L.; Hussain, A.
62013Commonsense-based topic modelingRajagopal, D.; Olsher, D.; Cambria, E. ; Kwok, K. 
72013Data intensive review mining for sentiment classification across heterogeneous domainsBisio, F.; Gastaldo, P.; Peretti, C.; Zunino, R.; Cambria, E. 
82013Enhancing sentiment classification performance using bi-tagged phrasesAgarwal, B.; Mittal, N.; Cambria, E. 
92013Feature ensemble plus sample selection: Domain adaptation for sentiment classificationXia, R.; Zong, C.; Hu, X.; Cambria, E. 
102013Inducing word senses for cross-lingual document clusteringTang, G.; Xia, Y.; Cambria, E. ; Jin, P.
112013Knowledge-based approaches to concept-level sentiment analysisCambria, E. ; Schuller, B.; Liu, B.; Wang, H.; Havasi, C.
122013New avenues in opinion mining and sentiment analysisCambria, E. ; Schuller, B.; Xia, Y.; Havasi, C.
132013Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and senticsCambria, E. ; Howard, N.; Hsu, J.; Hussain, A.
142013Statistical approaches to concept-level sentiment analysisCambria, E. ; Schuller, B.; Liu, B.; Wang, H.; Havasi, C.
152013WWW mabsda workshop chairs' welcomeCambria, E. ; Xia, Y.; Howard, N.