A Classification Method of Music Style Based on Text Mining and Neural Network

In terms of the confusion of music style ambiguous relationships caused by artificial classification and the problem that some songs cannot be classified into the proper style,the emotion of songs based on their lyrics to classify their belongings was analyzed.BP neural network was used to establish...

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Main Authors: Jianfeng Zhang, Jin Wang
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-07-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015179/
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author Jianfeng Zhang
Jin Wang
author_facet Jianfeng Zhang
Jin Wang
author_sort Jianfeng Zhang
collection DOAJ
description In terms of the confusion of music style ambiguous relationships caused by artificial classification and the problem that some songs cannot be classified into the proper style,the emotion of songs based on their lyrics to classify their belongings was analyzed.BP neural network was used to establish a music style forecast model and then a reasonable proof of the theory and derivation was made.This experiment use MATLAB as a modeling tool and determine the training parameters according to its characteristics,and then extract 10% from dataset to test.This approach shows that theoretical results and data simulation results agree well with the accuracy rate reached about 80%.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2015-07-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-275cdd1a50ba42c3aef00d2c2316892b2025-01-15T03:17:01ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-07-0131798559614718A Classification Method of Music Style Based on Text Mining and Neural NetworkJianfeng ZhangJin WangIn terms of the confusion of music style ambiguous relationships caused by artificial classification and the problem that some songs cannot be classified into the proper style,the emotion of songs based on their lyrics to classify their belongings was analyzed.BP neural network was used to establish a music style forecast model and then a reasonable proof of the theory and derivation was made.This experiment use MATLAB as a modeling tool and determine the training parameters according to its characteristics,and then extract 10% from dataset to test.This approach shows that theoretical results and data simulation results agree well with the accuracy rate reached about 80%.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015179/neural networktext miningweb crawlermusic classification
spellingShingle Jianfeng Zhang
Jin Wang
A Classification Method of Music Style Based on Text Mining and Neural Network
Dianxin kexue
neural network
text mining
web crawler
music classification
title A Classification Method of Music Style Based on Text Mining and Neural Network
title_full A Classification Method of Music Style Based on Text Mining and Neural Network
title_fullStr A Classification Method of Music Style Based on Text Mining and Neural Network
title_full_unstemmed A Classification Method of Music Style Based on Text Mining and Neural Network
title_short A Classification Method of Music Style Based on Text Mining and Neural Network
title_sort classification method of music style based on text mining and neural network
topic neural network
text mining
web crawler
music classification
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015179/
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AT jianfengzhang classificationmethodofmusicstylebasedontextminingandneuralnetwork
AT jinwang classificationmethodofmusicstylebasedontextminingandneuralnetwork