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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Identification of Mood based on Lyric Text Mining
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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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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