Computational Analysis of Arguments and Persuasive Strategies in Political Discourse

Naderi, Nona

Javascript is disabled or not supported in your browser. JavaScript must be enabled in order for you to use WIKINDX fully. Enable JavaScript through your browser options then try again, otherwise, try using a different browser.

AI Bibliography

WIKINDX Resources

Naderi, N. (2020). Computational analysis of arguments and persuasive strategies in political discourse. Unpublished PhD thesis, University of Toronto (Canada).

Resource type: Thesis/Dissertation
BibTeX citation key: Naderi2020
View all bibliographic details

Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Mathematics
Subcategories: Analytics, Decision making, Deep learning, Human decisionmaking, Machine learning, Neural nets, Neurosymbolic
Creators: Naderi
Publisher: University of Toronto (Canada)
Collection:

Attachments

Abstract

Various persuasive strategies are employed in advancing argumentation. This dissertation presents the first computational work in analyzing persuasive strategies in monological and dialogical argumentation in natural language.

WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)