loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sandeep Dixit 1 and L. K.Maheshwari 2

Affiliations: 1 NPTI Badarpur, India ; 2 BITS Pilani, India

Keyword(s): Support Vector Machines (SVM), Term Frequency (TF), Term Frequency – Inverse Document Frequency (TF – IDF).Internet services, Dial-up networking.

Abstract: Appplication of the machine learning techniques to embed adaptivity in the E-Learning frameworks is receiving considerable attention. Text Classification, or the task of automatically assigning semantic categories to natural language text, has therefore become one of the key methods for organizing digital content.Reports on SVM have mainly focussed on the theory or conceptual application of the SVM with little, if any, concern to applicability to E-Learning domain. In this paper we present a holistic approach towards building a text classifier suited for E-Learning domains. We present theory, application and use of a specific SVM software(SVM Torch) for classification of electronic documents giving every detail of how the downloaded SVM software can be used to apply the SVM concept and categorise text document in the context of E-Learning domains. Experimental results obtained by applying SVM to text document are presented. Pre-processing of the document is also presented. The ex periment was conducted using SVM Torch software with ten documents for training and five documents for testing. SVMs performed the best when used with binary representation. We are confident that the extent of details provided could well serve as a useful component in E-Learning frameworks and even provide curriculum component for UG level students. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.48.72

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dixit, S. and K.Maheshwari, L. (2005). ELECTRONIC DOCUMENT CLASSIFICATION USING SUPPORT VECTOR MACHINE-AN APPLICATION FOR E-LEARNING. In Proceedings of the Seventh International Conference on Enterprise Information Systems (ICEIS 2005) - Volume 5: EES; ISBN 972-8865-19-8; ISSN 2184-4992, SciTePress, pages 191-198. DOI: 10.5220/0002568401910198

@conference{ees05,
author={Sandeep Dixit. and L. K.Maheshwari.},
title={ELECTRONIC DOCUMENT CLASSIFICATION USING SUPPORT VECTOR MACHINE-AN APPLICATION FOR E-LEARNING},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems (ICEIS 2005) - Volume 5: EES},
year={2005},
pages={191-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002568401910198},
isbn={972-8865-19-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems (ICEIS 2005) - Volume 5: EES
TI - ELECTRONIC DOCUMENT CLASSIFICATION USING SUPPORT VECTOR MACHINE-AN APPLICATION FOR E-LEARNING
SN - 972-8865-19-8
IS - 2184-4992
AU - Dixit, S.
AU - K.Maheshwari, L.
PY - 2005
SP - 191
EP - 198
DO - 10.5220/0002568401910198
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic