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Aspect based sentiment analysis using deep learning approaches: A survey
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DOI：10.1016/j.cosrev.2023.100576.png)
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The wealth of unstructured text on the online web portal has made opinion mining the most thrust area for researchers, academicians, and businesses to extract information for gathering, analyzing, and aggregating human emotions. The extraction of public sentiment from the text at an aspect level has contributed exceptionally to various businesses in the marketplace. In recent times, deep learning based techniques have learned high-level linguistic features without high-level feature engineering. Therefore, this paper focuses on a rigorous survey on two primary subtasks, aspect extraction and aspect category detection of aspect-based sentiment analysis (ABSA) methods based on deep learning. The significant advancement in the ABSA sector is demonstrated by a thorough evaluation of state-of-the-art and latest aspect extraction methodologies.& COPY; 2023 Elsevier Inc. All rights reserved.
Keyword:
Explicit aspect extraction
Aspect category detection
Attention
Deep neural network
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分享收藏Improving aspect-based sentiment analysis via aligning aspect embedding通过对齐方面嵌入改进基于方面的情感分析.png)
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