Toxicity Classification on Music Lyrics Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Toxicity Classification on Music Lyrics Using Machine Learning Algorithms

Published:2021-12-18 Issue: Volume: Page:
ISSN:
Container-title:2021 24th International Conference on Computer and Information Technology (ICCIT)
language:
Short-container-title:

Author:

Siddique Md Abdus Salam¹,Sarker Md Imran²,Ghosh Robin³,Gosh Kamal⁴

Affiliation:

1. University of Arkansas at Little Rock,Department of Information Science,Little Rock,USA

2. University of Arkansas at Little Rock,Department of Computer Science,Little Rock,USA

3. Arkansas Tech University,Department of Computer and Information Science,Russellville,USA

4. Langston University,Department of Natural Resource Management,Langston,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9689773/9689775/09689865.pdf?arnumber=9689865

Reference20 articles.

2. Hybrid Knowledge Mining Ecosystem

3. Emotion Analysis of Songs Based on Lyrical and Audio Features

4. A Comparative Analysis of Logistic Regression, Random Forest and KNN Models for the Text Classification

5. Logistic regression: a self-learning text;kleinbaum,2002

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1. Toxic Comment Detection Using Bidirectional Sequence Classifiers;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

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4. Emergency Care Patient Prediction using Electronic Health Records (EHR) Data: An End-to-End Machine Learning Pipeline;2023 10th International Conference on Future Internet of Things and Cloud (FiCloud);2023-08-14

5. Detection of Explicit Lyrics in Hindi Music Using LSTM;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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