9788195293179 - sentiment analysis of music using statistics and machine learning de mukerjee, aakash (5 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 11,21
Envío por EUR 3,50Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 75.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 8,41
Envío por EUR 7,53Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 75.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 9,65
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 75.
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Librería: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
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EUR 7,69
Envío por EUR 17,50Se envía de India a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Hardcover. Condición: New. 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.
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Librería: MK BOOK SERVICES, Huntingdon, Reino UnidoMK BOOK SERVICES
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EUR 8,35
Envío por EUR 25,49Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: New.
