
Human knowledge better than artificial intelligence, OCR and automatic ranking algorithms Why (collaborative) tagging and (collaborative) annotations by (teams of) human editors?Įven if text mining and text analytics technology like automatic named entity recognition of persons, organizations or places and interactive filters and automatic topic detection by thesaurus for content analysis is very helpful to automate much of the editors work, no automatic text analysis, OCR or machine learning model is perfect. a name of a person, organization, location or a concept or word), this document will be found on further queries with this word(s) even if this word(s) is/are not contained in the document or would be not recognized by automatic text analysis. If a name and no of its aliases or a word and no of its synonyms is not contained in the document, that doesn't mean, that the document is not important for this topic.


Your research team or users will find yet analysed and tagged documents despite codes, euphemism and lies.

Find, analyze and filter tagged documents by faceted search.Human knowledge better than artificial intelligence, OCR and automatic ranking algorithms.Why (collaborative) tagging and (collaborative) annotations by (teams of) human editors?.
