Sentiment analysis of blogs by combining lexical knowledge with text classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Data quality from crowdsourcing: a study of annotation selection criteria
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Active dual supervision: reducing the cost of annotating examples and features
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Transductive Classification via Dual Regularization
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Cross-domain sentiment classification via spectral feature alignment
Proceedings of the 19th international conference on World wide web
Multi Grain Sentiment Analysis using Collective Classification
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction
IEEE Transactions on Image Processing
A unified approach to active dual supervision for labeling features and examples
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Active deep networks for semi-supervised sentiment classification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Which clustering do you want? inducing your ideal clustering with minimal feedback
Journal of Artificial Intelligence Research
User-level sentiment analysis incorporating social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Holistic approaches to identifying the sentiment of blogs using opinion words
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Twitter polarity classification with label propagation over lexical links and the follower graph
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Semi-supervised learning for imbalanced sentiment classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A unified framework for document clustering with dual supervision
ACM SIGAPP Applied Computing Review
Dual word and document seed selection for semi-supervised sentiment classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Sentiment analysis by augmenting expectation maximisation with lexical knowledge
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Active learning on sentiment classification by selecting both words and documents
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Employing emotion keywords to improve cross-domain sentiment classification
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Amplifying the voice of youth in Africa via text analytics
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
RBEM: a rule based approach to polarity detection
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
Active learning for cross-domain sentiment classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A weakly supervised approach to Chinese sentiment classification using partitioned self-training
Journal of Information Science
Explaining data-driven document classifications
MIS Quarterly
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The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentiment prediction as a standard text categorization problem, but gathering labeled data turns out to be a bottleneck. Fortunately, background knowledge is often available in the form of prior information about the sentiment polarity of words in a lexicon. Moreover, in many applications abundant unlabeled data is also available. In this paper, we propose a novel semi-supervised sentiment prediction algorithm that utilizes lexical prior knowledge in conjunction with unlabeled examples. Our method is based on joint sentiment analysis of documents and words based on a bipartite graph representation of the data. We present an empirical study on a diverse collection of sentiment prediction problems which confirms that our semi-supervised lexical models significantly outperform purely supervised and competing semi-supervised techniques.