Transparency and visualization in Text mining : A case study of Connected Concept analysis with Textometrica

• In the digital age, large amounts of text date are increasingly available. Information visualization has become an important approach for handling these large datasets.  But a critical perspective is still required in the process of analyzing data, as well as in the communication of methods and results.The researcher must ensure that the approaches provide the quality, transparency and precision needed for the research questions to be answered. In this paper we will report about a case study of the research method Connected Concept Analysis (Lindgren 2011) and the design of the tool Textometrica  (Lindgren & Palm 2012).

Ämnesord

HUMANIORA  -- Konst -- Konstvetenskap (hsv//swe)

HUMANITIES  -- Arts -- Art History (hsv//eng)

HUMANIORA  -- Konst -- Bildkonst (hsv//swe)

HUMANITIES  -- Arts -- Visual Arts (hsv//eng)

Nyckelord

text-mining

distant reading

close-reading

co-occurrences analysis visualization

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)