Analyzing The Strength Between Mission And Vision Statements And Industry Via Machine Learning

Main Article Content

Faleh Alshameri
Nathan Green Green

Keywords

CLUTO, Information Extraction, Machine Learning, Mission and Vision Statements, Organizational Performance, Strategic Management Process, Text Mining

Abstract

Mission and vision statements are critical to a company’s success both from a company’s long-term goals and appearance to potential customers. We analyze a collection of 772 mission and vision statements from companies via natural language processing. This data is hand annotated into 15 industry types. We show the distinctiveness and connectiveness of each industry via text processing and machine learning techniques. The extracted features of each industry are a telling and guiding indicator of what that industry embraces. We show high predictive power via machine learning to determine an industry by looking only at the mission and vision statements

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