In 'Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures' they have mentioned;

There are two slightly different classes of measure: lexical cohesion (sometimes called ‘unithood’ or ‘phraseness’), which quantifies the expectation of co-occurrence of words in a phrase (e.g., back-of-the-book index is significantly more cohesive than term name); and semantic informativeness (sometimes called ‘termhood’), which highlights phrases that are representative of a given document or domain.

However, the review does not include the ways to calculate/derive these measures. Can someone please specify how to get these two measurements for a given text documents?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.