9788195293179 - sentiment analysis of music using statistics and machine learning di mukerjee, aakash (5 risultati)
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 11,05
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. pp. 75.
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 8,29
EUR 7,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. pp. 75.
- Rilegato
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 9,65
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. pp. 75.
- Rilegato
Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 7,58
EUR 17,50 spedizioneSpedito da India a U.S.A.Quantità: 5 disponibili
Hardcover. Condizione: 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.
- Rilegato
Da: MK BOOK SERVICES, Huntingdon, Regno UnitoMK BOOK SERVICES
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 8,40
EUR 25,64 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: New.
