@inproceedings{harsley-etal-2016-hit,
title = "Hit Songs{'} Sentiments Harness Public Mood {\&} Predict Stock Market",
author = "Harsley, Rachel and
Gupta, Bhavesh and
Di Eugenio, Barbara and
Li, Huayi",
editor = "Balahur, Alexandra and
van der Goot, Erik and
Vossen, Piek and
Montoyo, Andres",
booktitle = "Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = jun,
year = "2016",
address = "San Diego, California",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W16-0406",
doi = "10.18653/v1/W16-0406",
pages = "17--25",
}
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%0 Conference Proceedings
%T Hit Songs’ Sentiments Harness Public Mood & Predict Stock Market
%A Harsley, Rachel
%A Gupta, Bhavesh
%A Di Eugenio, Barbara
%A Li, Huayi
%Y Balahur, Alexandra
%Y van der Goot, Erik
%Y Vossen, Piek
%Y Montoyo, Andres
%S Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F harsley-etal-2016-hit
%R 10.18653/v1/W16-0406
%U https://aclanthology.org/W16-0406
%U https://doi.org/10.18653/v1/W16-0406
%P 17-25
Markdown (Informal)
[Hit Songs’ Sentiments Harness Public Mood & Predict Stock Market](https://aclanthology.org/W16-0406) (Harsley et al., WASSA 2016)
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.