Title :
Leveraging unstructured information using topic modelling
Author :
Uys, J.W. ; du Preez, N.D. ; Uys, E.W.
Author_Institution :
Dept. of Ind. Eng., Univ. of Stellenbosch, Stellenbosch
Abstract :
Unstructured information in the form of natural language text is abundant in various kinds of organisations. To increase information sharing, organisational learning, decision-making and productivity, large amounts of unstructured text need to be analysed on a daily basis. Full text searching alone is not sufficient as a first approach to help users understand what a collection of electronic documents is about, since it does not provide the user with an overview of the underlying concepts in the document collection.
Keywords :
natural language processing; text analysis; decision making; document collection; electronic documents; full text searching; information sharing; natural language text; organisational learning; productivity; topic modelling; unstructured information; Africa; Cities and towns; Data mining; Data visualization; Industrial electronics; Industrial engineering; Information retrieval; Natural language processing; Natural languages; Text analysis;
Conference_Titel :
Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-890843-17-5
Electronic_ISBN :
978-1-890843-18-2
DOI :
10.1109/PICMET.2008.4599703
