An embodiment of the present invention is a system for evaluating the value of a mass patent using a computer device, comprising: a user interface for receiving patent reference information of each patent belonging to a mass patent; a database unit that stores a plurality of index data classified for each item and generates an input data set including at least one index data corresponding to the patent reference information for each patent; and a deep learning analysis unit that calculates the value of each of the patents by receiving the input data set as an input, wherein the deep learning analysis unit receives the input data set in parallel with a plurality of DNN (Deep Neural Network) models and A regression analysis model is provided, wherein the plurality of DNN models are individually trained to provide a valuation system for mass patents in which at least one parameter is different from each other.
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