Multi-representation approach to text regression of financial risks

@article{Trusov2015MultirepresentationAT,
  title={Multi-representation approach to text regression of financial risks},
  author={Roman Trusov and Alexey Natekin and Pavel Kalaidin and Sergey Ovcharenko and Alois Knoll and Aida Fazylova},
  journal={2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)},
  year={2015},
  pages={110-117}
}
Different approaches for textual feature extraction have been proposed starting with simple word count features and continuing with deeper representations capturing distributional semantics. In recent publications word embedding methods have been successfully used as a representation basis for a large number of NLP tasks like text classification, part of speech tagging and many others. In this article we explore opportunities of using multiple text representations simultaneously within one… CONTINUE READING