Creation of component templates based on semantically similar content

A computer program product comprising a non-transitory computer-readable medium storing instructions executable by one or more processors to perform:

• obtaining a plurality of content instances contained in a set of electronic document templates;
• providing the plurality of content instances to one or more analysis modules executed by the one or more computer processors;
• determining, by the one or more analysis modules for each of the plurality of content instances, one or more corresponding values for corresponding semantic factors;
• storing, for each of the plurality of content instances, the corresponding values for the corresponding semantic factors in a data structure associated with the content item;
• comparing, for each pair of the plurality of content instances, respective values of the corresponding data structures to determine similarity scores for each of the semantic factors;
• weighting and combining, for each pair of the plurality of content instances, the similarity scores for the semantic factors to determine a degree of similarity of the pair of the plurality of content instances;
• comparing, for each pair of the plurality of content instances, the corresponding degree of similarity to a threshold value to determine whether the pair of the plurality of content instances is semantically similar.

A method comprising:

• obtaining a plurality of content instances contained in a set of electronic document templates;
• providing the plurality of content instances to one or more analysis modules executed by the one or more computer processors;
• determining, by the one or more analysis modules for each of the plurality of content instances, one or more corresponding values for corresponding semantic factors;
• storing, for each of the plurality of content instances, the corresponding values for the corresponding semantic factors in a data structure associated with the content item;
• comparing, for each pair of the plurality of content instances, respective values of the corresponding data structures to determine similarity scores for each of the semantic factors;
• weighting and combining, for each pair of the plurality of content instances, the similarity scores for the semantic factors to determine a degree of similarity of the pair of the plurality of content instances;
• comparing, for each pair of the plurality of content instances, the corresponding degree of similarity to a threshold value to determine whether the pair of the plurality of content instances is semantically similar.