[PDF][PDF] Unsupervised and knowledge-poor approaches to sentiment analysis
T Zagibalov - 2010 - academia.edu
1.1 Background This thesis is about the automated analysis of sentiment in written
language. Sentiment analysis is concerned not with the topic or factual content in it, but …
language. Sentiment analysis is concerned not with the topic or factual content in it, but …
[PDF][PDF] A statistical nlp approach for feature and sentiment identification from chinese reviews
Existing methods for extracting features from Chinese reviews only use simplistic syntactic
knowledge, while those for identifying sentiments rely heavily on a semantic dictionary. In …
knowledge, while those for identifying sentiments rely heavily on a semantic dictionary. In …
[PDF][PDF] Intelligent techniques for recommender systems
Y Ren - 2013 - dro.deakin.edu.au
This thesis focuses on the data sparsity issue and the temporal dynamic issue in the context
of collaborative filtering, and addresses them with imputation techniques, low-rank subspace …
of collaborative filtering, and addresses them with imputation techniques, low-rank subspace …
[CITAS][C] Learning with Social Media
C Zhou - 2013 - … University of Hong Kong, Hong Kong