Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search

RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems

Volumn , Issue , 2011, Pages 355-358

  Faridani, Siamak ^a  

^a DEPARTMENT OF INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH   (United States)

Author keywords

canonical correlation analysis; generalized sentiment analysis; information clustering and labeling; nlp

Indexed keywords

CANONICAL CORRELATION ANALYSIS; DATA CLUSTERING; DATA SETS; EMPIRICAL DATA; GROUND TRUTH; INFORMATION CLUSTERING; LINEAR SCALE; MULTIPLE DIMENSIONS; MULTIVARIATE REGRESSION; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; NLP; OFFLINE; PRODUCT RECOMMENDATION; SEARCH ALGORITHMS; SENTIMENT ANALYSIS; USER RATING;

CLUSTERING ALGORITHMS; COMPUTATIONAL LINGUISTICS; COMPUTER HARDWARE DESCRIPTION LANGUAGES; DATA MINING; DATA VISUALIZATION; MATHEMATICAL MODELS; RECOMMENDER SYSTEMS; REGRESSION ANALYSIS; REVIEWS; TOOLS; VISUALIZATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 82555181717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2043932.2044005     Document Type: Conference Paper

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