Hit Songs' Sentiments Harness Public Mood & Predict Stock Market

Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, Huayi Li. Hit Songs' Sentiments Harness Public Mood & Predict Stock Market. In Alexandra Balahur, Erik Van der Goot, Piek Vossen, Andrés Montoyo, editors, Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@NAACL-HLT 2016, June 16, 2016, San Diego, California, USA. pages 17-25, The Association for Computer Linguistics, 2016. [doi]

@inproceedings{HarsleyGEL16,
  title = {Hit Songs' Sentiments Harness Public Mood & Predict Stock Market},
  author = {Rachel Harsley and Bhavesh Gupta and Barbara Di Eugenio and Huayi Li},
  year = {2016},
  url = {http://aclweb.org/anthology/W/W16/W16-0406.pdf},
  researchr = {https://researchr.org/publication/HarsleyGEL16},
  cites = {0},
  citedby = {0},
  pages = {17-25},
  booktitle = {Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@NAACL-HLT 2016, June 16, 2016, San Diego, California, USA},
  editor = {Alexandra Balahur and Erik Van der Goot and Piek Vossen and Andrés Montoyo},
  publisher = {The Association for Computer Linguistics},
  isbn = {978-1-941643-82-2},
}