Aspect-based sentiment analysis (ABSA) is a more complex task that consists in identifying both sentiments and aspects. This paper shows the potential of using the contextual word representations from the pre-trained language model BERT, together with a fine-tuning method with additional generated ...
简单总结:在Aspect detection和Sentiment analysis两个任务中,BERT的方法均较优。感受此论文方法能达到较优效果的可能原因如下:一方面,将目标和方面信息转换为辅助句,相当于指数式地扩展语料库;另一方面,BERT 模型在处理句对分类任务方面具有优势。对于ABSA问题,和篇章级和句子级的情感分析相比面临的问题有如下:1.方面...
然而,BERT-pair 在方面检测和情感分析方面明显优于其他模型,与 DmuEntnet 相比,获得了 9.4 的宏观平均 F1 和 2.6 的准确度提高。总体而言,四个 BERT-pair 模型的性能接近。值得注意的是,BERT-pair-NLI 模型在方面检测上的表现相对较好,而 BERT-pair-QA 模型在情感分类上的表现更好。此外,与其他模型相比,BERT...
Sentiment analysis is often used to analyze review texts but typically captures only overall sentiment without identifying specific aspects. This study develops an aspect-based sentiment analysis (ABSA) model using IndoBERT, a pre-trained model tailored for the Indonesian language. The research uses ...
引用:Zhao A, Yu Y. Knowledge-enabled BERT for aspect-based sentiment analysis[J]. Knowledge-Based Systems, 2021, 227: 107220. 1 背景 为了提供可解释和准确的方面术语和相应的方面-情感检测,考虑外部特定领域的知识通常很有用。 情感分析的一个主要挑战是识别意见以有效的方式从文本中表达的实体。
Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific aspects within a text. ABSA encompasses a set of sub-tasks that together facilitate a det
实验结果表明BERT-based 模型捕捉基于方面的情绪和它们对过度拟合的健壮性方面有很好表现。 回到顶部 五、附件 5.1 本文被引用条目:Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. W-NUT@EMNLP 2019: 34-41 5.2 论文下载地址:https://ar...
Geetha M, Renuka DK (2021) Improving the performance of aspect based sentiment analysis using fine-tuned Bert Base Uncased model. Int J Intell Netw 2:64–69 Google Scholar Goldberg Y (2016) A primer on neural network models for natural language processing. J Artif Intell Res 57:345–420....
Aspect-based Sentiment Analysis using BERT with Disentangled Attention 2021 5 DPL-BERT 85.75 89.54 81.96 Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis 2022 6 RoBERTa+MLP 85.58 87.37 83.78 Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis...
基于方面的情感分析(Aspect-based sentiment analysisABSA)目的是确定人们对特定方面的态度。通过提取显式的方面描述,称为方面术语提取(aspect term ExtractionAE),然后去检测每个提取的方面术语的情感极性,称为方面级别的情绪分类(aspect-level sentiment classificationAS),例如:"Great food but the service is dreadful"...