English

Sentiment Predictability for Stocks

Computation and Language 2018-01-22 v2 Artificial Intelligence Machine Learning Multimedia

Abstract

In this work, we present our findings and experiments for stock-market prediction using various textual sentiment analysis tools, such as mood analysis and event extraction, as well as prediction models, such as LSTMs and specific convolutional architectures.

Keywords

Cite

@article{arxiv.1712.05785,
  title  = {Sentiment Predictability for Stocks},
  author = {Jordan Prosky and Xingyou Song and Andrew Tan and Michael Zhao},
  journal= {arXiv preprint arXiv:1712.05785},
  year   = {2018}
}

Comments

9 pages

R2 v1 2026-06-22T23:19:39.976Z