{"title":"Performance and accuracy analysis of semantic kernel functions","authors":"M. Manuja, D. Garg","doi":"10.1108/PROG-04-2014-0028","DOIUrl":null,"url":null,"abstract":"Purpose – Syntax-based text classification (TC) mechanisms have been overtly replaced by semantic-based systems in recent years. Semantic-based TC systems are particularly useful in those scenarios where similarity among documents is computed considering semantic relationships among their terms. Kernel functions have received major attention because of the unprecedented popularity of SVMs in the field of TC. Most of the kernel functions exploit syntactic structures of the text, but quite a few also use a priori semantic information for knowledge extraction. The purpose of this paper is to investigate semantic kernel functions in the context of TC. Design/methodology/approach – This work presents performance and accuracy analysis of seven semantic kernel functions (Semantic Smoothing Kernel, Latent Semantic Kernel, Semantic WordNet-based Kernel, Semantic Smoothing Kernel having Implicit Superconcept Expansions, Compactness-based Disambiguation Kernel Function, Omiotis-based S-VSM semantic kernel function a...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"83-102"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-04-2014-0028","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Program-Electronic Library and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/PROG-04-2014-0028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose – Syntax-based text classification (TC) mechanisms have been overtly replaced by semantic-based systems in recent years. Semantic-based TC systems are particularly useful in those scenarios where similarity among documents is computed considering semantic relationships among their terms. Kernel functions have received major attention because of the unprecedented popularity of SVMs in the field of TC. Most of the kernel functions exploit syntactic structures of the text, but quite a few also use a priori semantic information for knowledge extraction. The purpose of this paper is to investigate semantic kernel functions in the context of TC. Design/methodology/approach – This work presents performance and accuracy analysis of seven semantic kernel functions (Semantic Smoothing Kernel, Latent Semantic Kernel, Semantic WordNet-based Kernel, Semantic Smoothing Kernel having Implicit Superconcept Expansions, Compactness-based Disambiguation Kernel Function, Omiotis-based S-VSM semantic kernel function a...
期刊介绍:
■Automation of library and information services ■Storage and retrieval of all forms of electronic information ■Delivery of information to end users ■Database design and management ■Techniques for storing and distributing information ■Networking and communications technology ■The Internet ■User interface design ■Procurement of systems ■User training and support ■System evaluation