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Qiudan Li

2 accepted papers

2025

Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data

AAAI 2025technical

Personality identification plays important roles in understanding user behavior and offering foresight ability for downstream applications. The key challenge is how to address the scarcity of labeled personality data. Recently, some studies have adopted data augmentation and prompt learning to perfo…

Cited by 0SourcePDFScholar
2023

A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract)

AAAI 2023technical

User demand mining aims to identify the implicit demand from the e-commerce reviews, which are always irregular, vague and diverse. Existing sentiment analysis research mainly focuses on aspect-opinion-sentiment triplet extraction, while the deeper user demands remain unexplored. In this paper, we f…

Cited by 0SourcePDFScholar