Sentiment Analysis of Music using Statistics and Machine Learning is popular PDF and ePub book, written by Aakash Mukherjee in 2022-10-16, it is a fantastic choice for those who relish reading online the Music genre. Let's immerse ourselves in this engaging Music book by exploring the summary and details provided below. Remember, Sentiment Analysis of Music using Statistics and Machine Learning can be Read Online from any device for your convenience.
Sentiment Analysis of Music using Statistics and Machine Learning Book PDF Summary
Sentiment analysis and prediction of contemporary Music can have a wide range of applications in modern society, for instance, selecting music for public institutions such as hospitals or restaurants to potentially improve the emotional well-being of personnel, patients, and customers respectively. In this project, a music recommendation system is built upon a Naive Bayes Classifier trained to predict the sentiment of songs based on song lyrics alone. Online streaming platforms have become one of the most important forms of music consumption. Most streaming platforms provide tools to assess the popularity of a song in the forms of scores and rankings. In this book, we address two issues related to song popularity. First, we predict whether an already popular song may attract higher-than-average public interest and become viral. Second, we predict whether sudden spikes in the public interest will translate into long-term popularity growth. We base our findings on data from the streaming platform Billboard, Spotify, and consider appearances in its "Most-Popular" list as indicative of popularity, and appearances in its "Virals" list as indicative of interest growth. We approach the problem as a classification task and employ a Support Vector Machine model built on popularity information to predict interest, and vice versa.
Detail Book of Sentiment Analysis of Music using Statistics and Machine Learning PDF
- Author : Aakash Mukherjee
- Release : 16 October 2022
- Publisher : Sanctum Books
- ISBN : 9788195293179
- Genre : Music
- Total Page : 78 pages
- Language : English
- PDF File Size : 14,8 Mb
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