An algorithm for suffix stripping
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Probabilistic latent semantic indexing
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Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
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Using appraisal groups for sentiment analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Pachinko allocation: DAG-structured mixture models of topic correlations
ICML '06 Proceedings of the 23rd international conference on Machine learning
Topic modeling: beyond bag-of-words
ICML '06 Proceedings of the 23rd international conference on Machine learning
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Identifying sources of opinions with conditional random fields and extraction patterns
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Topic sentiment mixture: modeling facets and opinions in weblogs
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Automatic construction of polarity-tagged corpus from HTML documents
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Modeling online reviews with multi-grain topic models
Proceedings of the 17th international conference on World Wide Web
Sentiment retrieval using generative models
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Adding redundant features for CRFs-based sentence sentiment classification
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A study of information retrieval weighting schemes for sentiment analysis
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A comparative study of Bayesian models for unsupervised sentiment detection
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Holistic sentiment analysis across languages: multilingual supervised latent Dirichlet allocation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 1st ACM international workshop on Connected multimedia
Aspect and sentiment unification model for online review analysis
Proceedings of the fourth ACM international conference on Web search and data mining
Quantifying sentiment and influence in blogspaces
Proceedings of the First Workshop on Social Media Analytics
Self-training from labeled features for sentiment analysis
Information Processing and Management: an International Journal
Personalised rating prediction for new users using latent factor models
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Latent sentiment model for weakly-supervised cross-lingual sentiment classification
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Automatically extracting polarity-bearing topics for cross-domain sentiment classification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Learning word vectors for sentiment analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Semi-supervised latent variable models for sentence-level sentiment analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Latent aspect rating analysis without aspect keyword supervision
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Topic sentiment change analysis
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Accounting for data dependencies within a hierarchical dirichlet process mixture model
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
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Mining contrastive opinions on political texts using cross-perspective topic model
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Sentiment-Preserving reduction for social media analysis
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Incorporating Sentiment Prior Knowledge for Weakly Supervised Sentiment Analysis
ACM Transactions on Asian Language Information Processing (TALIP)
Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce
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Sentiment analysis for online reviews using an author-review-object model
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Survey on mining subjective data on the web
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Combining lexicon and learning based approaches for concept-level sentiment analysis
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User-sentiment topic model: refining user's topics with sentiment information
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Credit Rating Change Modeling Using News and Financial Ratios
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Document-level sentiment classification: An empirical comparison between SVM and ANN
Expert Systems with Applications: An International Journal
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Aspect extraction through semi-supervised modeling
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Fine granular aspect analysis using latent structural models
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
One seed to find them all: mining opinion features via association
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Topic-driven reader comments summarization
Proceedings of the 21st ACM international conference on Information and knowledge management
On the design of LDA models for aspect-based opinion mining
Proceedings of the 21st ACM international conference on Information and knowledge management
VISA: a visual sentiment analysis system
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Mining topic-level opinion influence in microblog
Proceedings of the 21st ACM international conference on Information and knowledge management
Towards jointly extracting aspects and aspect-specific sentiment knowledge
Proceedings of the 21st ACM international conference on Information and knowledge management
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ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Semantic sentiment analysis of twitter
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On text preprocessing for opinion mining outside of laboratory environments
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Employing hierarchical Bayesian networks in simple and complex emotion topic analysis
Computer Speech and Language
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Knowledge-Based Systems
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One theme in all views: modeling consensus topics in multiple contexts
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Proceedings of the 22nd international conference on World Wide Web
The FLDA model for aspect-based opinion mining: addressing the cold start problem
Proceedings of the 22nd international conference on World Wide Web
Cross-media sentiment classification and application to box-office forecasting
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Domain-dependent/independent topic switching model for online reviews with numerical ratings
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Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Aspect-specific polarity-aware summarization of online reviews
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Dynamic joint sentiment-topic model
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
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Service Oriented Computing and Applications
Identifying interesting Twitter contents using topical analysis
Expert Systems with Applications: An International Journal
Sentiment topic models for social emotion mining
Information Sciences: an International Journal
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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 a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously from text. Unlike other machine learning approaches to sentiment classification which often require labeled corpora for classifier training, the proposed JST model is fully unsupervised. The model has been evaluated on the movie review dataset to classify the review sentiment polarity and minimum prior information have also been explored to further improve the sentiment classification accuracy. Preliminary experiments have shown promising results achieved by JST.