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

arXiv:2403.08217v1 Announce Type: cross
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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