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ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
13 years 11 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei
CIDM
2007
IEEE
13 years 11 months ago
Measuring the Validity of Document Relations Discovered from Frequent Itemset Mining
— The extension approach of frequent itemset mining can be applied to discover the relations among documents. Several schemes, i.e., n-gram, stemming, stopword removal and term w...
Kritsada Sriphaew, Thanaruk Theeramunkong
CI
2006
101views more  CI 2006»
13 years 5 months ago
Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect...
Alistair Kennedy, Diana Inkpen
NIPS
2001
13 years 6 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
CORR
2002
Springer
82views Education» more  CORR 2002»
13 years 5 months ago
Using eigenvectors of the bigram graph to infer morpheme identity
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
Mikhail Belkin, John A. Goldsmith