This is a work-in-progress paper on evaluative analysis of different approaches to managing representations of facts and attitudes in linguistics. The aim of this comparative analysis is to find the most suitable approach for developing an annotation scheme in order to build a dictionary of attitudinal expressions during the further stages of the project.
Among the approaches analyzed are the Appraisal Theory, the scheme developed by Bednarek, as well as sentiment analysis and opinion mining techniques, and argument mining. The results of the current paper should be considered as the first step in the research of distinguishing facts and attitudes in diplomatic speeches of the United Nations Security Council.