- 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
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 17–25
- Language:
- URL:
- https://aclanthology.org/W16-0406
- DOI:
- 10.18653/v1/W16-0406
- 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., WASSA 2016)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W16-0406.pdf