Do Media Data Help to Predict German Industrial Production?

Abstract

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Coping with demand volatility in retail pharmacies with the aid of big data exploration

“…The utilisation and analysis of news content data in prediction has been applied by researchers in the past. Kholodilin et al (2014) applied a quantitative content analysis technique based on word count, wherein the impact of keywords is determined quantitatively by computing a keyword index. Word count involves counting the frequency of keywords with the assumption that those words appearing most often indicate important concerns.…”

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An Estimation Model for Hypertension Drug Demand in Retail Pharmacies with the Aid of Big Data Analytics

“…News content analysis for prediction has been applied by researchers in the past. A quantitative content analysis technique based on word count for specific keywords computation has been followed in [38]. However, the downside of the word count, is the use of synonyms, which may underestimate the importance of notions and multiple meanings and, consequently, may mislead the analysis.…”

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“…Others have taken a tangent approach and endeavored to predict industrial production (Kholodilin et al, 2014) as well as track business cycle (Iselin and Siliverstovs, 2013) using media data. The former study was conducted in Germany and the latter was performed for both Germany and Switzerland.…”