Transformer-Based Approach Towards Music Emotion Recognition from Lyrics

Author:

Agrawal YudhikORCID,Shanker Ramaguru Guru RaviORCID,Alluri VinooORCID

Publisher

Springer International Publishing

Reference41 articles.

1. Spotify hits 130 million subscribers amid COVID-19. https://www.bbc.com/news/technology-52478708

2. Abdillah, J., Asror, I., Wibowo, Y.F.A., et al.: Emotion classification of song lyrics using bidirectional LSTM method with glove word representation weighting. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi) 4(4), 723–729 (2020)

3. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.J.: Sentiment analysis of Twitter data. In: Proceedings of the Workshop on Language in Social Media (LSM 2011), pp. 30–38 (2011)

4. Barry, J.: Sentiment analysis of online reviews using bag-of-words and LSTM approaches. In: AICS, pp. 272–274 (2017)

5. Çano, E., Morisio, M.: Moodylyrics: a sentiment annotated lyrics dataset. In: Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, pp. 118–124 (2017)

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Internet of Things for Emotion Care: Advances, Applications, and Challenges;Cognitive Computation;2024-08-07

2. BLNN:a muscular and tall architecture for emotion prediction in music;Soft Computing;2024-07-18

3. MusicEmo: transformer-based intelligent approach towards music emotion generation and recognition;Journal of Ambient Intelligence and Humanized Computing;2024-05-17

4. Music Emotion Classification using Harris Hawk Optimization based LightGBM Classifier;2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII);2024-03-20

5. Automatic music mood classification using multi-modal attention framework;Engineering Applications of Artificial Intelligence;2024-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3