# How to calculate lexical cohension and semantic informaticveness for a given dataset?

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?

• – Emre Mar 23 '18 at 4:53