LInSTSS is a method of computing short-text semantic similarity (i.e. semantic textual similarity) that uses a bag-of-words approach and relies on string overlap measures and lexical distributional semantics. Similarities between individual words are weighted according to word frequencies. Since it does not use any language-specific tools or resouces, LInSTSS is easily applicable to any language. Further information about the algorithm can be found in the 2013 Decision Support Systems paper. LInSTSS is implemented within the STSFineGrain package.