Abstract

In this study, a text analytics approach was employed to analyse the mission statements of the most innovative companies to help uncover emerging trends and unlock the value of unstructured textual data. The tools that were used to conduct this analysis were R and SAS Enterprise Miner. The dataset that is used for this analysis contains the mission statements of the top 50 most innovative companies ranked by Boston Consulting Group. Valuable information was extracted by classifying, clustering, and visualising the most frequently appearing and significant terms found across the mission statements of the most innovative companies.

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