Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models
Using data from user sentences on Spotify, this work explores through Natural Language Processing positive and negative sentiments in each comment. We compare different statistical modeling and Machine Learning techniques, identifying the ones with the greatest accuracy in predicting sentiments. As...
Saved in:
Main Authors: | Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidade Federal de Pernambuco (UFPE)
2024-12-01
|
Series: | Socioeconomic Analytics |
Subjects: | |
Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265070 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
by: Denilson de Oliveira Silva, et al.
Published: (2024-12-01) -
Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning
by: Ashagrew Liyih, et al.
Published: (2024-06-01) -
Decoding Sentiment in Online Communication: A Social Media Analysis of Fashion Companies
by: Karolina Mania, et al.
Published: (2024-12-01) -
Sentimentally enhanced conversation recommender system
by: Fengjin Liu, et al.
Published: (2025-01-01) -
A systematic assessment of sentiment analysis models on iraqi dialect-based texts
by: Hafedh Hameed Hussein, et al.
Published: (2025-12-01)