Open AccessThe power of visual analytics and language processing to explore the underlying trend of highly popular song lyrics
Author(s) -
Tanish Maheshwari,
Tarpara Nisarg Bhaveshbhai,
Mitali Halder
Publication year - 2021
Publication title -
engineering and applied science letters
Language(s) - English
Resource type - Journals
eISSN - 2617-9709
pISSN - 2617-9695
DOI - 10.30538/psrp-easl2021.0072
Subject(s) - lyrics , computer science , liveness , natural (archaeology) , globe , speech recognition , linguistics , history , art , literature , psychology , philosophy , archaeology , neuroscience , programming language
The number of songs are increasing at a very high rate around the globe. Out of the songs released every year, only the top few songs make it to the billboard hit charts .The lyrics of the songs place an important role in making them big hits combined with various other factors like loudness, liveness, speech ness, pop, etc. The artists are faced with the problem of finding the most desired topics to create song lyrics on. This problem is further amplified in selecting the most unique, catchy words which if added, could create more powerful lyrics for the songs. We propose a solution of finding the bag of unique evergreen words using the term frequency-inverse document frequency (TF-IDF) technique of natural language processing. The words from this bag of unique evergreen words could be added in the lyrics of the songs to create more powerful lyrics in the future.