Instance-Based Learning Algorithms
Machine Learning
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Comparing and aggregating rankings with ties
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Object-level ranking: bringing order to Web objects
WWW '05 Proceedings of the 14th international conference on World Wide Web
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
PageRank on semantic networks, with application to word sense disambiguation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm
Intelligent Data Analysis
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Propagation of trust and distrust for the detection of trolls in a social network
Computer Networks: The International Journal of Computer and Telecommunications Networking
'Long autonomy or long delay?' The importance of domain in opinion mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Feature-based opinion extraction: A practical, domain-adaptable approach
AI Communications
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In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the webpage relevance calculus method used by Google, and generalizes it to deal with graphs having not only positive but also negative weighted arcs. Besides the definition of our algorithm, this paper includes the algebraic justification, the convergence demonstration and an empirical study in which PolarityRank is applied to two unrelated tasks where a graph with positive and negative weights can be built: the calculation of word semantic orientation and instance selection from a learning dataset.