Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Evolutionary document management and retrieval for specialized domains on the web
International Journal of Human-Computer Studies
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Text retrieval with more realistic concept matching and reinforcement learning
Information Processing and Management: an International Journal
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
Fuzzy support vector machine for multi-class text categorization
Information Processing and Management: an International Journal
Concept similarity in Formal Concept Analysis: An information content approach
Knowledge-Based Systems
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Topic-bridged PLSA for cross-domain text classification
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
A compound framework for sports results prediction: A football case study
Knowledge-Based Systems
Building classification rules for case-based classifier using fuzzy sets and formal concept analysis
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
A New Case-Based Classifier System Using Rough Formal Concept Analysis
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 02
Boosting Formal Concepts to Discover Classification Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Formal concept analysis in information science
Annual Review of Information Science and Technology
Short Communication: Concept lattice reduction using fuzzy K-Means clustering
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
A mining-based approach on discovering courses pattern for constructing suitable learning path
Expert Systems with Applications: An International Journal
Cross-domain sentiment classification via spectral feature alignment
Proceedings of the 19th international conference on World wide web
Constructing tree-based knowledge structures from text corpus
Applied Intelligence
Semi-supervised recognition of sarcastic sentences in Twitter and Amazon
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Formal concept analysis in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Conceptual-driven classification for coding advise in health insurance reimbursement
Artificial Intelligence in Medicine
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Word co-occurrence features for text classification
Information Systems
An alternative approach for statistical single-label document classification of newspaper articles
Journal of Information Science
A new similarity measure in formal concept analysis for case-based reasoning
Expert Systems with Applications: An International Journal
Journal of Information Science
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
Exploring the preference of customers between financial companies and agents based on TCA
Knowledge-Based Systems
Research on domain ontology in different granulations based on concept lattice
Knowledge-Based Systems
Incremental classification rules based on association rules using formal concept analysis
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining the real-time web: A novel approach to product recommendation
Knowledge-Based Systems
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis
Information Processing and Management: an International Journal
Knowledge evolution course discovery in a professional virtual community
Knowledge-Based Systems
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Automatic text classification in text mining is a critical technique to manage huge collections of documents. However, most existing document classification algorithms are easily affected by ambiguous terms. The ability to disambiguate for a classifier is thus as important as the ability to classify accurately. In this paper, we propose a novel classification framework based on fuzzy formal concept analysis to conceptualize documents into a more abstract form of concepts, and use these as the training examples to alleviate the arbitrary outcomes caused by ambiguous terms. The proposed model is evaluated on a benchmark testbed and two opinion polarity datasets. The experimental results indicate superior performance in all datasets. Applying concept analysis to opinion polarity classification is a leading endeavor in the disambiguation of Web 2.0 contents, and the approach presented in this paper offers significant improvements on current methods. The results of the proposed model reveal its ability to decrease the sensitivity to noise, as well as its adaptability in cross domain applications.