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In this research, we propose encoding texts into normalized tables for categorizing texts, automatically. Previously , the table based approach was proposed, but the categorical scores indicating how much the text is relevant to the given category may be overestimated or underestimated by the given text length. As the solution to the problem, in this research, we encode texts into fixed sized tables, define the operation for computing the similarity between two tables as a normalized value, andfatcat:n5h6yj2wkne2nhesrsuyu5ef7m