Persuasive Natural Language Generation -- A Literature Review

Understand

This literature review focuses on the use of Natural Language Generation (NLG) to automatically detect and generate persuasive texts.

• Extending previous research on automatic identification of persuasion in text, we concentrate on generative aspects through conceptualizing determinants of persuasion in five business-focused categories: benevolence, linguistic appropriacy, logical argumentation, trustworthiness, tools and datasets.
• These allow NLG to increase an existing message's persuasiveness.
• Previous research illustrates key aspects in each of the above mentioned five categories.