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» Extending Weighting Models with a Term Quality Measure
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SPIRE
2007
Springer
13 years 10 months ago
Extending Weighting Models with a Term Quality Measure
Abstract. Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query. Apart from t...
Christina Lioma, Iadh Ounis
SIGIR
2006
ACM
13 years 10 months ago
Measuring similarity of semi-structured documents with context weights
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...
Christopher C. Yang, Nan Liu
ACL
2009
13 years 2 months ago
Discovering the Discriminative Views: Measuring Term Weights for Sentiment Analysis
This paper describes an approach to utilizing term weights for sentiment analysis tasks and shows how various term weighting schemes improve the performance of sentiment analysis ...
Jungi Kim, Jinji Li, Jong-Hyeok Lee
BMCBI
2006
100views more  BMCBI 2006»
13 years 4 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
JASIS
2010
121views more  JASIS 2010»
13 years 2 months ago
Linear time series models for term weighting in information retrieval
Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...
Miles Efron