Ranking Music Recommendations Using Hashtags

Abstract

The aim of the Project is to recommend music using hashtags. We recommend music using the emotions of the song. We analyze users emotion and their music choices. We extract information from hashtags by applying sentimental approach. The rawtext is preprocessed for mining and machine learning algorithm is applied. The data set is taken from Pandas and using NLTK we tokenize the words. We then combine sentimental computation and ranking of individual music track to recommend the music