Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection
Joint Authors
Han, Bing Qing
Chen, Yifei
Sun, Yuxing
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Protein interaction article classification is a text classification task in the biological domain to determine which articles describe protein-protein interactions.
Since the feature space in text classification is high-dimensional, feature selection is widely used for reducing the dimensionality of features to speed up computation without sacrificing classification performance.
Many existing feature selection methods are based on the statistical measure of document frequency and term frequency.
One potential drawback of these methods is that they treat features separately.
Hence, first we design a similarity measure between the context information to take word cooccurrences and phrase chunks around the features into account.
Then we introduce the similarity of context information to the importance measure of the features to substitute the document and term frequency.
Hence we propose new context similarity-based feature selection methods.
Their performance is evaluated on two protein interaction article collections and compared against the frequency-based methods.
The experimental results reveal that the context similarity-based methods perform better in terms of the F1 measure and the dimension reduction rate.
Benefiting from the context information surrounding the features, the proposed methods can select distinctive features effectively for protein interaction article classification.
American Psychological Association (APA)
Chen, Yifei& Sun, Yuxing& Han, Bing Qing. 2015. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
Modern Language Association (MLA)
Chen, Yifei…[et al.]. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
American Medical Association (AMA)
Chen, Yifei& Sun, Yuxing& Han, Bing Qing. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056623