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» Learning Word Vectors for Sentiment Analysis
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KDD
2009
ACM
262views Data Mining» more  KDD 2009»
14 years 8 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence
CI
2006
101views more  CI 2006»
13 years 7 months ago
Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect...
Alistair Kennedy, Diana Inkpen
COLING
2008
13 years 9 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
AI
2009
Springer
14 years 2 months ago
Opinion Learning without Emotional Words
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
Marina Sokolova, Guy Lapalme
NIPS
2008
13 years 9 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...