Abstract: Systems, methods, media, and other such embodiments described herein relate to computational analysis of data associated using tensor networks. One embodiment involves accessing a set of input data (e.g. text, images, audio, or other data associated with language or “meaning” correlations) from a memory of a computing device, and processing the input data to generate a plurality of data elements as a sequence of vectors representing the input data. This sequence of vectors is then input into a tensor network comprising a plurality of interconnected nodes, with each node comprising an operator having an associated operator value, with the operator being configured to act on a product of a vector space associated with a data element of the plurality of data elements. The tensor network outputs one or more values, with each value associated with at least one data element of set of input data.