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The purpose of the study is to develop effective strategies for optimal storage of text data for further processing using natural language processing algorithms. This survey synthesizes and relates current methods and findings in efficient nlp We aim to provide both guidance for conducting nlp under limited resources, and point towards promising research directions for developing more efficient methods. This motivates research into efficient methods that require fewer resources to achieve similar results
Such resources include data, time, storage, or energy, all of which are naturally limited and unevenly distributed
This motivates research into efficient methods that require fewer resources to achieve similar results.
