Hit Songs’ Sentiments Harness Public Mood & Predict Stock Market

Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, Huayi Li


Anthology ID:
W16-0406
Volume:
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
June
Year:
2016
Address:
San Diego, California
Venues:
WASSA | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
17–25
Language:
URL:
https://aclanthology.org/W16-0406
DOI:
10.18653/v1/W16-0406
Bibkey:
Cite (ACL):
Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, and Huayi Li. 2016. Hit Songs’ Sentiments Harness Public Mood & Predict Stock Market. In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 17–25, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
Hit Songs’ Sentiments Harness Public Mood & Predict Stock Market (Harsley et al., 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-0406.pdf