Quotation Hofmarcher, Paul, Theußl, Stefan, Hornik, Kurt. 2011. Do Media Sentiments Reflect Economic Indices?. Chinese Business Review 10 (7): 487-492.


RIS


BibTeX

Abstract

Forecasting economic indices on the basis of information extracted from text documents, like newspaper articles is an attractive idea. With the help of text mining techniques, in particular sentiment analysis, we evaluate the tone of individual New York Times (NYT) articles and compare our results to the Chicago Fed National Activity Index (CFNAI). In this paper, we present a simple, intuitive framework to derive sentiment scores from text documents. In particular articles are tagged based on terms and their connotated sentiment. Subsequently, we forecast the CFNAI movements via support vector machines (SVM) trained on a subset of the observed sentiment scores. We apply our model into two different data sets, the whole NYT articles and the articles categorized as NYT business news. On both data sets, we applied a simple performance measure to evaluate forecasting accuracy of the CFNAI.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Chinese Business Review
Language English
Title Do Media Sentiments Reflect Economic Indices?
Volume 10
Number 7
Year 2011
Page from 487
Page to 492
URL http://www.davidpublishing.com/journals_show_abstract.html?820-0

Associations

People
Hofmarcher, Paul (Details)
Theußl, Stefan (Former researcher)
Hornik, Kurt (Details)
Organization
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
Google Scholar: Search