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» Sentiment Mining Using Ensemble Classification Models
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CISSE
2008
Springer
13 years 6 months ago
Sentiment Mining Using Ensemble Classification Models
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
Matthew Whitehead, Larry Yaeger
COLING
2010
12 years 11 months ago
Disambiguating Dynamic Sentiment Ambiguous Adjectives
Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low"pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method ...
Yunfang Wu, Miaomiao Wen
CSIE
2009
IEEE
13 years 11 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
ACL
2009
13 years 2 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 4 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han