.png){kind=icon}
返回
A mixed unsupervised method for aspect extraction using BERT
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-022-13023-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the increase of unstructured text on social media platforms from user opinions, deep neural network techniques have significantly contributed to the aspect extraction subtask of Aspect-Based Sentiment Analysis (ABSA). In a multi-sentence review, sentences are contextually interdependent, and static word embedding generates similar representations for the same word in different domains. Hence, existing techniques cannot capture inter-sentence dependencies for valid multi-word aspect extraction. Further, incorporating conceptual information to associate the context and aspect terms is still a challenging task. Therefore, this paper aims to remove inadequate information and capture aspect co-referencing by adding a sentence coreference resolution step before performing ABSA in an unsupervised rule-based method. Next, domain irrelevant aspects are pruned out using contextual embedding. Furthermore, aspects extracted using unsupervised way are given as labeled in training the hierarchical attention-based network using pre-trained language model BERT, Bidirectional Encoder Representations from Transformers. The experimental results on the SemEval-16 dataset show that F-score results are between 2.5% and 5% better than recent supervised deep learning approaches for laptop and restaurant domains, respectively.
Keyword:
Aspect extraction
BERT
Deep neural network
Sentiment analysis
Unsupervised learning
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
机构
引用论文
Ferrimagnetic Synapse Devices for Fast and Energy-Efficient On-Chip Learning on Crossbar-Array-Based Neural Networks (A Device-Circuit-System Costudy)铁氧体磁学突触器件：用于基于交叉阵列神经网络的快速、低能耗片上学习（一项器件-电路-系统协同研究）
PREAI
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)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA基于方面的情感分析中一种新的基于主题建模的方面提取方法: ss-lda
PREAI
分享收藏A sentiment-aware deep learning approach for personality detection from text一种基于情感感知的文本个性检测深度学习方法
PREAI
分享收藏
查看更多内容