Natural language based financial forecasting: a survey

@article{Xing2017NaturalLB,
  title={Natural language based financial forecasting: a survey},
  author={Frank Z. Xing and Erik Cambria and Roy E. Welsch},
  journal={Artificial Intelligence Review},
  year={2017},
  volume={50},
  pages={49-73}
}
Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

5 Figures & Tables

Topics

Statistics

0204020172018
Citations per Year

Citation Velocity: 16

Averaging 16 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.