Neo-TM is a text-mining engine comparing large amount of text documents in search of their content similarity.

The comparison process is concept-based. The matching approach identifies the frequency of key concepts occurrences between articles and determines an index of semantic similarity. Also, it automatically classifies new text in similar groups to make it easier to find articles related to specific topics. This feature is useful for scientific and media domains where database are updated frequently with thousands of new papers.