• Refine your search:
  • 
    Keyword:
    
    • Australian Politics (5)
    • Bob Hawke (3)
    • Cabinet Minister (3)
    • Data Mining (3)
    • John Howard (3)
    • Leadership (3)
    • Malcolm Fraser (3)
    • Paul Keating (3)
    • Personnel Selection (3)
    • American poetry (2)
    •   more
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2017 (1)
    • 2016 (1)
    • 2013 (2)
    • 2012 (3)
  • 
    Medium
  • 
    Type:
    
    • Article (4)
    • Book (2)
    • Miscellaneous (1)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Changes in the style and content of Australian election campaign speeches from 1901 to 2016: a computational linguistic analysis Dalvean, Michael Coleman In: ICAME Journal (2017) BASE Show details 2 The Psychological Underpinnings of Conservative/Liberal Ideology in the Australian Federal Parliament: A Computational Linguistic Analysis Dalvean, Michael Coleman. - : The Australian Society for Quantitative Political Science, 2016 BASE Show details 3 Ranking contemporary American poems Dalvean, Michael Coleman In: Literary and Linguistic Computing (2013) ; http://ssrn.com/abstract=2208452 (2013) Abstract: In this paper I use computational linguistics to find the differences between poems written by amateurs and poems written by professionals. I identify a number of linguistic variables that are important in distinguishing between the two classes of poems. To a large extent the findings corroborate those of earlier researchers, such as the fact that professional poems have more concrete language than amateur poems. However, I go on to use the identifed characteristics to create an ensemble classifier using the principles of machine learning. The holdout sample classification accuracy of the classifier is 80%. Furthermore, I go on to use the scores generated by the classifier to rank a number of contemporary American poets on a continuum from "amateur" to "professional". This method could be used by publishers to run an initial check on submitted poems to determine their merit. Keyword: American poetry; computational linguistics; digital humanities; machine learning URL: http://hdl.handle.net/1885/9722 BASE Hide details 4 Ranking contemporary American poems Dalvean, Michael Coleman In: Literary and Linguistic Computing (2013) ; http://ssrn.com/abstract=2208452 (2013) BASE Show details 5 The Selection of Cabinet Ministers in the Australian Federal Parliament Dalvean, Michael Coleman. - 2012 BASE Show details 6 The Selection of Cabinet Ministers in the Australian Federal Parliament Dalvean, Michael Coleman. - 2012 BASE Show details 7 The Selection of Cabinet Ministers in the Australian Federal Parliament ... Dalvean, Michael Coleman. - : The Australian National University, 2012 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 7 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0