Abstract: This chapter explores how three methods of political text analysis can complement each other to differentiate parties in detail. A word-frequency method and corpus linguistic techniques are joined by critical discourse analysis in an attempt to assess the ideological relation between election manifestos and a coalition agreement. How does this agreement relate to the policy positions presented in individual election manifestos and whose issues appear on the governmental agenda? The chapter discusses the design of three levels of text analysis applying text-as-data analysis; words-as-meaningful-data involving lexical-semantic analysis of subjectivity; and words-in-context analysis for variation in constructions of worldviews. We found that better results can be achieved for party positioning in combinations of qualitative and quantitative approaches.
|Title of host publication||From Text to Political Positions: Text analysis across disciplines|
|Editors||A.R. Kaal, I. Maks, A.M.E. van Elfrinkhof|
|Place of Publication||Amsterdam|
|Number of pages||32|
|Publication status||Published - 2014|
Bibliographical notePrepublication version
Gebeurtenis: T2PP Workshop