loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rebecca J. Passonneau 1 ; Tifara Ramelson 2 and Boyi Xie 1

Affiliations: 1 Columbia University, United States ; 2 Brandeis University, United States

ISBN: 978-989-758-048-2

Keyword(s): Text Mining For Financial News, Financial Analytics, Coreference Resolution, Named Entity Recognition.

Abstract: Text mining on a large scale that addresses actionable prediction needs to contend with noisy information in documents, and with interdependencies between the NLP techniques applied and the data representation. This paper presents an initial investigation of the impact of improved company mention detection for financial analytics using Named Entity recognition and coreference. Coverage of company mention detection improves dramatically. Improvement for prediction of stock price varies, depending on the data representation.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.226.209.201

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
J. Passonneau R., Ramelson T. and Xie B. (2014). Company Mention Detection for Large Scale Text Mining.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014) ISBN 978-989-758-048-2, pages 512-520. DOI: 10.5220/0005174405120520

@conference{sstm14,
author={Rebecca J. Passonneau and Tifara Ramelson and Boyi Xie},
title={Company Mention Detection for Large Scale Text Mining},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014)},
year={2014},
pages={512-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005174405120520},
isbn={978-989-758-048-2},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2014)
TI - Company Mention Detection for Large Scale Text Mining
SN - 978-989-758-048-2
AU - J. Passonneau R.
AU - Ramelson T.
AU - Xie B.
PY - 2014
SP - 512
EP - 520
DO - 10.5220/0005174405120520

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.