Principal component analysis
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Publications (13)

1Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis2010  Chien Chin Chen,Terence Y.W. ChanName Identification of Topic Documents Using Principal Component Analysis Chein Chin Chen Department of Information...

2Semisupervised training of a Kernel PCABased Model for Word Sense Disambiguationfor word sense disambiguation based on Kernel Principal Component Analysis (KPCA), with experiments showing that it can further...

3Datadriven Classification of Linguistic Styles in Spoken Dialogues2002  Thomas Portelelinguistically interpretable components by means of a principal component analysis. Classes were established from these components...

4A Computer Readability Formula of Japanese Texts for Machine Scoring(period) ratio. To find the proper weighting, principal component analysis (PCA) was appliedto these characteristics taken...

5Semantic Visualization and Meaning Computation2008  Fabienne Venantcompute the distances between the cliques. Then a principal component analysis is applied to reduce the dimensionality of the...

6Recognizing Personal Characteristics of Readers using EyeMovements and Text Featuresbetween subjects with similar task performance using principal component analysis and quantify the likelihood of our hypothesis...

7Towards Automatic Extraction of Monolingual and Bilingual Terminologyorder to improve the results. We carried out Principal Component Analysis (PCA) with a set of fifteen variables, i.e. tile...

8Selforganizing Classification on the Reuters News Corpus2002  Stefan Wermter,Chihli Hung1999). In the field of linear algebra, PCA (Principal Component Analysis), SVD (Singular Value Decomposition) and Random...

9Phrase Clustering for Smoothing TM Probabilities  or, How to Extract Paraphrases from Phrase Tablestable of joint phrase counts. One could apply principal component analysis or a related algorithm to this table. References...

10Global topology of word cooccurrence networks: Beyond the tworegime powerlawthat spectral analysis is also closely related to Principal Component Analysis and Multidimensional Scaling. If the first few...