PHOAKS: a system for sharing recommendations
Communications of the ACM
Mining e-mail content for author identification forensics
ACM SIGMOD Record
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science and Technology
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
From fingerprint to writeprint
Communications of the ACM - Supporting exploratory search
Ontology-supported polarity mining
Journal of the American Society for Information Science and Technology
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Stylometric Identification in Electronic Markets: Scalability and Robustness
Journal of Management Information Systems
A survey on sentiment detection of reviews
Expert Systems with Applications: An International Journal
Effectiveness of web search results for genre and sentiment classification
Journal of Information Science
A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews
IEEE Intelligent Systems
"Was it good? It was provocative." Learning the meaning of scalar adjectives
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Identifying text polarity using random walks
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Classifying sentiment in microblogs: is brevity an advantage?
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Aspect-based sentiment analysis of movie reviews on discussion boards
Journal of Information Science
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Improving Recommender Systems by Incorporating Social Contextual Information
ACM Transactions on Information Systems (TOIS)
Towards Social Recommendation System Based on the Data from Microblogs
ASONAM '11 Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining
Sentiment Value Propagation for an Integral Sentiment Dictionary Based on Commonsense Knowledge
TAAI '11 Proceedings of the 2011 International Conference on Technologies and Applications of Artificial Intelligence
Bridging informal tagging and formal semantics via hybrid navigation
Journal of Information Science
Artificial immune system for illicit content identification in social media
Journal of the American Society for Information Science and Technology
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
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Sentiment analysis of messages posted on micro-blogs is helpful in determining the current usefulness and acceptability of target products or services. It is the basis for finding users with similar attitudes. In this paper, we propose a new sentiment similarity technique to analyse Chinese micro-blog accounts. However, the Chinese text features have not been well studied. Therefore, we first chose four types of feature sets and selected principle features by combining information gain and support vector machine techniques. Next, we compared the four types of features to determine which type of feature contributed more than others. Here we used three classification techniques: decision tree, support vector machines and naive Bayes. Finally, we used Karhunen-Loéve transform technique and average precision between positive and negative features to measure sentiment similarity. Experiment evaluations demonstrated that this new method is efficient and performs better than original average distance for Chinese micro-blogs.