Making large-scale support vector machine learning practical
Advances in kernel methods
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
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
Taking the community's pulse: one blog at a time
ICWE '06 Proceedings of the 6th international conference on Web engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A framework for modeling influence, opinions and structure in social media
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A method for constructing a movie-selection support system based on Kansei engineering
Proceedings of the 2007 conference on Human interface: Part I
Lexicon based sentiment analysis of Urdu text using SentiUnits
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Survey on mining subjective data on the web
Data Mining and Knowledge Discovery
The adoption of social networking technologies in cinema releases
Information Technology and Management
A comparative study of feature selection and machine learning techniques for sentiment analysis
Proceedings of the 2012 ACM Research in Applied Computation Symposium
An artificial neural network based approach for sentiment analysis of opinionated text
Proceedings of the 2012 ACM Research in Applied Computation Symposium
RETRACTED: Sentiment Analysis in Decision Sciences Research: An Illustration to IT Governance
Decision Support Systems
A document-level sentiment analysis approach using artificial neural network and sentiment lexicons
ACM SIGAPP Applied Computing Review
A boosted SVM based sentiment analysis approach for online opinionated text
Proceedings of the 2013 Research in Adaptive and Convergent Systems
A boosted SVM based ensemble classifier for sentiment analysis of online reviews
ACM SIGAPP Applied Computing Review
Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text
Artificial Intelligence Review
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With the ever-growing popularity of online media such as blogs and social networking sites, the Internet is a valuable source of information for product and service reviews. Attempting to classify a subset of these documents using polarity metrics can be a daunting task. After a survey of previous research on sentiment polarity, we propose a novel approach based on Support Vector Machines. We compare our method to previously proposed lexical-based and machine learning (ML) approaches by applying it to a publicly available set of movie reviews. Our algorithm will be integrated within a blog visualization tool.