Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis

Our empirical investigation specifically Natural language processing (NLP) tasks involve targets the nuances of purchase behavior, guided by predicting outcomes from text, ranging from the implicit a focus on two critical dimensions as illuminated attributes of text to the subsequent behavior of by Cognitive Appraisal Theory: the author or the reader. Recent research suggests Cognitive appraisals: The multifaceted evaluative that user-level features can carry more task-related processes through which consumers engage information than the text itself (Lynn et al., 2019), with and interpret their interactions with products, but these experiments have been conducted in a limited including, but not limited to, the novelty and pleasantness scope. Other studies have explored how the linguistic of the consumer-product encounter (Yeo characteristics of text, such as its politeness and Ong, 2023).