Disclosed are a method and a system for automatically classifying data expressed as a plurality of factors with values of a text word and a symbol sequence by using deep learning. A computer-implemented method comprises the steps of: inputting the data expressed by the plurality of factors so as to express a word vector including sequence information of the factors through sequence learning of words corresponding to the factors with respect to each factor constituting the data in a first model; inputting an output of the first model so as to calculate points of each category for classifying the categories of the data by using the word vector including the sequence information of the factor in a second model; and determining at least one category for the data by using the points of each category.
METHOD AND SYSTEM FOR AUTOMATICALLY CLASSIFYING DATA EXPRESSED BY A PLURALITY OF FACTORS WITH VALUES OF TEXT WORD AND SYMBOL SEQUENCE BY USING DEEP LEARNING