1. ScholarBank@NUS

Erik Cambria

rp04256

Collaboration Map View Statistics Email Alert RSS Feed

Profile

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

Publications

Results 1-20 of 36 (Search time: 0.007 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.
424-Jun-2019Business Taxonomy Construction Using Concept-Level Hierarchical ClusteringBai, Haodong; Xing, Frank Z ; Cambria, Erik ; Huang, Win-Bin
515-Feb-2013Circular-ELM for the reduced-reference assessment of perceived image qualityDecherchi, S.; Gastaldo, P.; Zunino, R.; Cambria, E. ; Redi, J.
62012Clustering social networks using interaction semantics and senticsChandra, P.; Cambria, E. ; Hussain, A.
72013Common Sense Knowledge for Handwritten Chinese Text RecognitionWang, Q.-F.; Cambria, E. ; Liu, C.-L.; Hussain, A.
82013Commonsense-based topic modelingRajagopal, D.; Olsher, D.; Cambria, E. ; Kwok, K. 
9Feb-2014Computational intelligence for natural language processing [Guest Editorial]Cambria, E. ; White, B.; Durrani, T.S.; Howard, N.
102013Data intensive review mining for sentiment classification across heterogeneous domainsBisio, F.; Gastaldo, P.; Peretti, C.; Zunino, R.; Cambria, E. 
112013Enhancing sentiment classification performance using bi-tagged phrasesAgarwal, B.; Mittal, N.; Cambria, E. 
122012Enriching SenticNet polarity scores through semi-supervised fuzzy clusteringPoria, S.; Gelbukh, A.; Cambria, E. ; Das, D.; Bandyopadhyay, S.
132013Feature ensemble plus sample selection: Domain adaptation for sentiment classificationXia, R.; Zong, C.; Hu, X.; Cambria, E. 
141-Jan-2020Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver BulletsXing, FZ ; Malandri, L; Zhang, Y; Cambria, E 
151-Jan-2022Fusing Task-Oriented and Open-Domain Dialogues in Conversational AgentsYoung, Tom; Xing, Frank ; Pandelea, Vlad; Ni, Jinjie; Cambria, Erik 
162013Inducing word senses for cross-lingual document clusteringTang, G.; Xia, Y.; Cambria, E. ; Jin, P.
172011Isanette: A common and common sense knowledge base for opinion miningCambria, E. ; Song, Y.; Wang, H.; Hussain, A.
182013Knowledge-based approaches to concept-level sentiment analysisCambria, E. ; Schuller, B.; Liu, B.; Wang, H.; Havasi, C.
192012Merging SenticNet and WordNet-Affect emotion lists for sentiment analysisPoria, S.; Gelbukh, A.; Cambria, E. ; Yang, P.; Hussain, A.; Durrani, T.
201-Jun-2018Natural language based financial forecasting: a surveyXing, Frank Z ; Cambria, Erik ; Welsch, Roy E