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Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
March 14, 2024, 4:42 a.m. | Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper explores the application of deep learning techniques, particularly focusing on BERT models, in sentiment analysis. It begins by introducing the fundamental concept of sentiment analysis and how deep learning methods are utilized in this domain. Subsequently, it delves into the architecture and characteristics of BERT models. Through detailed explanation, it elucidates the application effects and optimization strategies of BERT models in sentiment analysis, supported by experimental validation. The experimental findings indicate that BERT …
abstract analysis application architecture arxiv bert bert models concept cs.cl cs.lg deep learning deep learning techniques domain paper research sentiment sentiment analysis type
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