for each goal in a plurality of sustainable development goals (SDGs), obtaining first text data comprising (i) text describing targets for the respective goal, and (ii) text describing function outlines of one or more first information and communication technology (ICT) services, wherein the respective outlines have been determined to describe contributions to the respective goal;

for each goal in the plurality of SDGs, performing a morphological analysis of the first text data to extract a set of words, and computing a respective feature quantity for each word extracted from the first text data;

applying one or more of a latent semantic analysis (LSA) or a latent dirichlet allocation (LDA) to the feature quantities computed for the extracted words to generate a sentence feature matrix;

obtaining second text data describing an outline of a second ICT service, and computing the feature quantities of words in the second text data;

applying topic modeling to the sentence feature matrix and the feature quantities computed for the words in the second text data to evaluate a respective degree of contribution of the second ICT service to each goal in the SDGs; and

displaying the degree of contribution of the second ICT service to the SDGs on a display device.