ML Anthology

S&P360: Multidimensional Perspective on Companies from Online Data Sources

Michele Berlingerio, Stefano Braghin, Francesco Calabrese, Cody Dunne, Yiannis Gkoufas, Mauro Martino, Jamie C. Rasmussen, Steven I. Ross
ECML-PKDD 2015 pp. 320-324
doi:10.1007/978-3-319-23461-8_39 /ecmlpkdd/2015/berlingerio2015ecmlpkdd-p360/

Abstract

We introduce S&P360, a system to analyse and explore multidimensional, online data related to companies, their financial news, and the social impact of them. Our system combines official and crowd-sourced data sources to offer a broad perspective on the impact of financial newsregarding a set of companies.

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Cite

Text

Berlingerio et al. "S&P360: Multidimensional Perspective on Companies from Online Data Sources." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_39

Markdown

[Berlingerio et al. "S&P360: Multidimensional Perspective on Companies from Online Data Sources." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/berlingerio2015ecmlpkdd-p360/) doi:10.1007/978-3-319-23461-8_39

BibTeX

@inproceedings{berlingerio2015ecmlpkdd-p360,
  title     = {{S&P360: Multidimensional Perspective on Companies from Online Data Sources}},
  author    = {Berlingerio, Michele and Braghin, Stefano and Calabrese, Francesco and Dunne, Cody and Gkoufas, Yiannis and Martino, Mauro and Rasmussen, Jamie C. and Ross, Steven I.},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {320-324},
  doi       = {10.1007/978-3-319-23461-8_39},
  url       = {https://mlanthology.org/ecmlpkdd/2015/berlingerio2015ecmlpkdd-p360/}
}