Sentiment Analysis of Lyrics on Recycled and Recent Songs using Natural Language Processing Technology

Abstract

This study is to examine and categorize the lyrics of popular songs both the recycled and the new ones, in Indonesian and English, using technology of Natural Language Processing or NLP, Sentiment Analysis on particular. The research uses quantitative method in collecting numerical data to be analyzed with statistical techniques. A literature study is also taken to reveal the originality and popularity of songs covering the time they were used and written. The device used in processing numerical data is an iPad with certain specification considered its ability to access internet, downloading and saving data as well as making and editing documents. It was found that the lyrics of recycled songs are classified into “very good” and those currently written are classified into “not good”.