Evolution of Different Music Genres
Selvakumar Kamalnathan1, Yash Mishra2, Vijay Kumawat3, Vaibhav Bangwal4

1Selvakumar Kamalnathan,
2Yash Mishra,
3Vijay Kumawat,
4Vaibhav Bangwal,
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP:5138-5143 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1674109119/2019©BEIESP | DOI: 10.35940/ijeat.A1674.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper aims to study the evolution of five different music genres: Hip-Hop, Rock, Pop, Country and Metal over the last five decades. Each style of music has been classified into three-time slots: Before the 2000s, between 2000 to 2009 and from 2010 to present. Length of lyrics for each genre over the three different time slots has been compared. Similarly, most frequently used words were studied to understand the mood and expression of emotions which each style carries and how they have evolved. Then the lexical diversity and sentimental analysis over time of each music type have been studied to analyze how the songs have evolved to satisfy the ever-changing taste of listeners and the dynamic underlying tone which they carry. We have also studied the various classification models to predict genres with lyrics based on numerous parameters like most frequently words, word- length, lyrics length. At last, we present our opinion on what can we expect from each music-genre in the near future.
Keywords: Natural Language Processing, Sentimental Analysis, Music, Lyrics Analysis, Predictive Analysis, Machine Learning, RStudio.