Injecting User Identity Into Pretrained Language Models for Document-Level Sentiment Classification-Reference-Cited by-同舟云学术

Injecting User Identity Into Pretrained Language Models for Document-Level Sentiment Classification

Author:

Cao Xinlei¹^ORCID,Yu Jinyang²,Zhuang Yan³

Affiliation:

1. School of Computer Science and Technology, East China Normal University, Shanghai, China

2. Center for ADR Monitoring of Guangdong, Guangzhou, China

3. National Engineering Laboratory for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China

Funder

Medical Big Data and AI Research Development Project of the People’s Liberation Army General Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference40 articles.

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3. ERNIE: Enhanced representation through knowledge integration;sun;arXiv 1904 09223,2019

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5. Model-agnostic meta-learning for fast adaptation of deep networks;finn;arXiv 1703 03400,2017

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2. Implementation of Text-Based Sentiment Analysis Using LSTM Model;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10