Knowledge Network Node
Computer Engineering and Applications. Core
(Accepted Version) Online First Publishing Date: 2024-09-14 09:28:35

A Hybrid Neural Network Sentiment Analysis Model Incorporating Character and Word FeaturesChinese Full TextEnglish Full Text (MT)

LI Jiaqi;YANG Huan;GAO Hui;

Abstract: The absence of explicit separators in Chinese sentences can cause traditional word-based encoding models to lose internal semantic information， complicating sentiment analysis tasks. To address this， a hybrid model combining character-level and word-level features is proposed. This model uses a Bi-GRU structure with an attention mechanism to extract contextual features from character sequences， and a CNN structure to capture local word features with different kernel sizes. The combined features ... More
Keywords：

Sentiment analysis; Hybrid neural networks; Character features; Word features; Bidirectional gated recurrent units;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Computer Software and Application of Computer; Automation Technology

  • Classification Code：

    TP391.1;TP183

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