Results 281 to 290 of about 583,468 (318)

STC: Stacked Two-stage Convolution for Aspect Term Extraction

2021 International Symposium on Electrical, Electronics and Information Engineering, 2021
Aspect term extraction (ATE) aims to extract aspect terms from reviews as opinion targets for sentiment analysis. Although some of the previous works prove that dependency relationship between aspect terms and context is useful for ATE, they have barely tried to use graph neural networks to capture valuable information in dependency patterns ...
Ruiqi Wang, Shuai Liu, Binhui Wang, Shusong Xing   +3 more
openaire   +1 more source

Aspect Based Sentiment Analysis in Bangla Dataset Based on Aspect Term Extraction

2020
Recent years have seen rapid growth of research on sentiment analysis. In aspect-based sentiment analysis, the idea is to take sentiment analysis a step further and find out what exactly someone is talking about, and then measuring the sentiment if she or he likes or dislikes it.
Sabrina Haque, Tasnim Rahman, Asif Khan Shakir, Md. Shohel Arman, Khalid Been Badruzzaman Biplob, Farhan Anan Himu, Dipta Das, Md Shariful Islam   +7 more
openaire   +1 more source

A hybrid unsupervised method for aspect term and opinion target extraction

Knowledge-Based Systems, 2018
Abstract Aspect term extraction (ATE) and opinion target extraction (OTE) are two important tasks in fine-grained sentiment analysis field. Existing approaches to ATE and OTE are mainly based on rules or machine learning methods. Rule-based methods are usually unsupervised, but they can’t make use of high level features.
Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang   +4 more
openaire   +1 more source

Post-processing method with aspect term error correction for enhancing aspect term extraction

Applied Intelligence, 2022
Ruyan Wang, Chengxin Liu, Rongjian Zhao, Zhigang Yang, Puning Zhang, Dapeng Wu   +5 more
openaire   +1 more source

DomSent: Domain-Specific Aspect Term Extraction in Aspect-Based Sentiment Analysis

2019
In recent research aspect-based sentiment analysis has played a vital role in identifying user’s opinions from the unstructured natural text. One of the most critical subtasks in aspect-based sentiment analysis is to extract the most prominent aspect terms.
Ganpat Singh Chauhan, Yogesh Kumar Meena
openaire   +1 more source

Densely-connected neural networks for aspect term extraction

Science China Information Sciences, 2021
Chen Chen, Houfeng Wang, Qingqing Zhu, Junfei Liu   +3 more
openaire   +1 more source

Aspect Term Extraction Based on BiLSTM-CRF Model

2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS), 2022
Jiazhao Chai, Wenqian Shang, Jianxiang Cao   +2 more
openaire   +1 more source

Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission

2018
This paper presents a novel neural architecture for aspect term extraction in fine-grained sentiment computing area. In addition to amalgamating sequential features (character embedding, word embedding and POS tagging information), we train an end-to-end Recurrent Neural Networks (RNNs) with meticulously designed dependency transmission between ...
Lindong Guo, Shengyi Jiang, Wenjing Du, Suifu Gan   +3 more
openaire   +1 more source

Aspect Term Extraction and Categorization for Chinese MOOC Reviews

2022 14th International Conference on Advanced Computational Intelligence (ICACI), 2022
Kangan Zhou, Guangmin Li, Jiejie Chen, Wenjing Chen, Xinhua Xu, Xiaowei Yan   +5 more
openaire   +1 more source

Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction

Journal of Intelligent Information Systems, 2022
Yongsheng Zhang, Qi Ding, Zhenfang Zhu, Peiyu Liu, Fu Xie   +4 more
openaire   +1 more source