Injecting User Identity Into Pretrained Language Models for Document-Level Sentiment Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3158975
Abstract: This paper mainly studies the combination of pre-trained language models and user identity information for document-level sentiment classification. In recent years, pre-trained language models (PLMs) such as BERT have achieved state-of-the-art results on many NLP… read more here.
Keywords: identity; user identity; trained language; language models ... See more keywords
JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3201102
Abstract: The user identity linkage that establishes correspondence between users across networks is a fundamental issue in various social network applications. Efforts have recently been devoted to introducing network embedding techniques that map the different network… read more here.
Keywords: network; identity linkage; user identity; weakly supervised ... See more keywords
User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function
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DOI: 10.3390/e24111603
Abstract: Users participate in multiple social networks for different services. User identity linkage aims to predict whether users across different social networks refer to the same person, and it has received significant attention for downstream tasks… read more here.
Keywords: social networks; user identity; time; knowledge graph ... See more keywords