International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Identification of Mood based on Lyric Text Mining
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Author Name: |
V. Kalyani, Dr. Y. Sangeetha |
Abstract: |
Abstract
The detail study of the subject provides categorizing the songs
according to the mood by using lyrics of songs. A new method
is proposed to identify the mood of the song by uploading the
song files according to the users wish. Before performing data
mining tasks we applying data pre-processing for better results.
5 mood categories are maintained according to realistic and
user centric perspective. In this research songs can be examine
by using different data mining techniques and lex
summarization. Finally we canpredict the mood of the song by
providing lyrics of the song.
Keywords:Mood, Pre-processing, Categorizing, Examine. |
Cite this article: |
V. Kalyani, Dr. Y. Sangeetha , "
Identification of Mood based on Lyric Text Mining " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 6, Issue 4, July - August 2017 , pp.
118-120 , ISSN 2278-6856.
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