Multi-class Text Classification using Support Vector Machines (SVMs)

My project presents the experiment conclusion of the suited of Support vector machines for multi-class text in different datasets and discusses the process of text classification with a series of novel Multi-class Support vector machines methods. It address the following points: • How to represent...

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Main Author: Nguyen, Hoang Nghia
Other Authors: Advanced Technologies for IoT Applications
Format: Conference paper
Language:English
Published: 2019
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/67100
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-671002019-09-05T03:47:28Z Multi-class Text Classification using Support Vector Machines (SVMs) Nguyen, Hoang Nghia Advanced Technologies for IoT Applications My project presents the experiment conclusion of the suited of Support vector machines for multi-class text in different datasets and discusses the process of text classification with a series of novel Multi-class Support vector machines methods. It address the following points: • How to represent text documents as feature vectors and the effect of text representation on classification result? • How to use the binary classifiers for Multi-classification problem? And the empirical experiment on different dataset both in English and Vietnamese 2019-09-05T03:34:57Z 2019-09-05T03:34:57Z 2017 Conference paper Nguyen, H. N. (2017). Multi-class Text Classification using Support Vector Machines (SVMs). Advanced Technologies for IoT Applications. http://repository.vnu.edu.vn/handle/VNU_123/67100 en application/pdf
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
description My project presents the experiment conclusion of the suited of Support vector machines for multi-class text in different datasets and discusses the process of text classification with a series of novel Multi-class Support vector machines methods. It address the following points: • How to represent text documents as feature vectors and the effect of text representation on classification result? • How to use the binary classifiers for Multi-classification problem? And the empirical experiment on different dataset both in English and Vietnamese
author2 Advanced Technologies for IoT Applications
author_facet Advanced Technologies for IoT Applications
Nguyen, Hoang Nghia
format Conference paper
author Nguyen, Hoang Nghia
spellingShingle Nguyen, Hoang Nghia
Multi-class Text Classification using Support Vector Machines (SVMs)
author_sort Nguyen, Hoang Nghia
title Multi-class Text Classification using Support Vector Machines (SVMs)
title_short Multi-class Text Classification using Support Vector Machines (SVMs)
title_full Multi-class Text Classification using Support Vector Machines (SVMs)
title_fullStr Multi-class Text Classification using Support Vector Machines (SVMs)
title_full_unstemmed Multi-class Text Classification using Support Vector Machines (SVMs)
title_sort multi-class text classification using support vector machines (svms)
publishDate 2019
url http://repository.vnu.edu.vn/handle/VNU_123/67100
_version_ 1680966178418196480