Fitted models for paper 'Analysing Semantic Textual Similarity of University Module Catalogue Entries for Linking Modules Comparable in Content'.

Fitted PyTorch and Gensim models used in the analysis for the 'Analysing Semantic Textual Similarity of University Module Catalogue Entries for Linking Modules Comparable in Content' paper. Models are used for document embedding generation and topic modelling. They were used with the corresponding dataset, but can be used with other document datasets as well.

Corresponding repository found at: lukekaye/sts-university-modules: Analysing Semantic Textual Similarity of university module catalogue entries for linking modules comparable in content. (github.com)