Financial Sentiment Analysis: Techniques and Applications
Nanyang Technological University · National University of Singapore
Abstract
Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis that has gained increasing attention in the past decade. FSA research falls into two main streams. The first stream focuses on defining tasks and developing techniques for FSA, and its main objective is to improve the performances of various FSA tasks by advancing methods and using/curating human-annotated datasets. The second stream of research focuses on using financial sentiment, implicitly or explicitly, for downstream applications on financial markets, which has received more research efforts. The main objective is to discover appropriate market applications for existing techniques. More specifically, the…
Citation impact
- FWCI
- 58.00
- Percentile
- 100%
- References
- 190
Authors
4Topics & keywords
- Computer science
- Scope (computer science)
- Sentiment analysis
- Data science
- Domain (mathematical analysis)
- Financial market
- Artificial intelligence
- Finance