A Literary Text Analysis of Musical Art Through Text Mining

This study strives to examine the applicability of the latest text mining techniques in a musical piece, “Wicked”. This investigation explores the diverse characters’ concerns and relationships, identifying hidden patterns of the plot. The results of the study allow us to see the main arguments depicted on the word frequency tool applicable in composition writing, education, and applied linguistics. The collected data will be used to develop the tagging of meaning in the second and foreign language education, which is suitable for learners and users and easy in usage. Through the use of different analysis tools, researchers and educators come up with a deeper perspective and understanding regarding the issue. In time, these works will be adopted in the academic disciplines of education and thus advance the current discourse and practice of the field through enlightening society about the potentials of technology in analyzing and interpreting literature and artworks.