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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?

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