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» Imbalanced sentiment classification
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CORR
2002
Springer
96views Education» more  CORR 2002»
13 years 7 months ago
Thumbs up? Sentiment Classification using Machine Learning Techniques
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, w...
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
EMNLP
2008
13 years 9 months ago
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
In this paper, we present a novel method based on CRFs in response to the two special characteristics of "contextual dependency" and "label redundancy" in sent...
Jun Zhao, Kang Liu, Gen Wang
ECAI
2010
Springer
13 years 8 months ago
Multi Grain Sentiment Analysis using Collective Classification
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
S. Shivashankar, B. Ravindran
FSS
2008
134views more  FSS 2008»
13 years 7 months ago
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
In the field of classification problems, we often encounter classes with a very different percentage of patterns between them, classes with a high pattern percentage and classes w...
Alberto Fernández, Salvador García, ...
ACL
2008
13 years 9 months ago
Lyric-based Song Sentiment Classification with Sentiment Vector Space Model
Yunqing Xia, Linlin Wang, Kam-Fai Wong, Mingxing X...