Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Experiment on linguistically-based term associations
Information Processing and Management: an International Journal
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Documents similarity measurement using field association terms
Information Processing and Management: an International Journal
Similarity-based methods for word sense disambiguation
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
Using syntactic dependency as local context to resolve word sense ambiguity
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
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Contextual word similarity and estimation from sparse data
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Similarity-based estimation of word cooccurrence probabilities
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Word classification and hierarchy using co-occurrence word information
Information Processing and Management: an International Journal
How the Semantic Web is Being Used: An Analysis of FOAF Documents
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Mining web sites using adaptive information extraction
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
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
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
A method of extracting malicious expressions in bulletin board systems by using context analysis
Information Processing and Management: an International Journal
A novel neighborhood based document smoothing model for information retrieval
Information Retrieval
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When companies obtain customer opinions and requests fromfree-styled writings, sensibility expressions are important becausethey include personal subjectivity such as claims 'Too much dust'.Sensibility knowledge registered in the expressions is difficult tobuild manually. In order to reduce personal burden for buildingsensibility knowledge, this paper presents a method to acquiresensibility expressions automatically by using co-occurrencerelation. According to experimental results of co-occurrenceknowledge registered 1,300,000 terms, the rate of correct answersincluded in acquired sensibility expressions is 73.5%.