Semi-supervised recursive autoencoders for predicting sentiment distributions

EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2011, Pages 151-161

  Socher, Richard ^a   Pennington, Jeffrey ^b   Huang, Eric H ^a   Ng, Andrew Y ^a   Manning, Christopher D ^a  

^a Stanford University   (United States)

^b SLAC NATIONAL ACCELERATOR LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOENCODERS; DATA SETS; EMOTIONAL REACTIONS; LABEL DISTRIBUTION; MACHINE-LEARNING; MULTI-WORD; MULTINOMIAL DISTRIBUTIONS; MULTIPLE LABELS; PREDICTION TASKS; SEMI-SUPERVISED; STATE-OF-THE-ART APPROACH; USER STORIES; VECTOR SPACE REPRESENTATION;

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; VECTOR SPACES;

FORECASTING;

EID: 80053261327     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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