Abstract
Google Trends, the service that illustrates the trends in Google search activity, has recently received attention form analytics researchers for the prediction of economic trends and consumer behavior. Previous studies used Google Trends to estimate consumption and sales for a particular business, or provide general trends for an economic sector or industry. This study reported here differs from these attempts as it aims to estimate the performance of a single player in an industry by not only trends related to that player, but also those of its competitors. Further, these trends have been modified by Twitter based sentiment scores. It is demonstrated that the incorporation of competitive factors results in better estimates by as much as 5% while the addition of a Twitter sentiment score is not beneficial. The Twitter related findings could be because the tweet volumes in the particular industry that was examined are low and volatile.
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Szczech, M., Turetken, O. (2018). The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter. In: Deokar, A., Gupta, A., Iyer, L., Jones, M. (eds) Analytics and Data Science. Annals of Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-58097-5_11
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