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» Sentiment Mining Using Ensemble Classification Models
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ICTAI
2010
IEEE
13 years 5 months ago
Instance-Based Ensemble Pruning via Multi-Label Classification
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis...
CIKM
2009
Springer
14 years 2 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He
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
ACL
2006
13 years 9 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
EMNLP
2010
13 years 5 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie