Results 61 to 70 of about 379,431 (345)

Aspect Based Sentiment Analysis Marketplace Product Reviews Using BERT, LSTM, and CNN

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Bukalapak is one of the largest marketplaces in Indonesia. Reviews on Bukalapak are only in the form of text, images, videos, and stars without any special filters. Reading and analyzing manually makes it difficult for potential buyers. To help with this,
Syaiful Imron, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo   +3 more
doaj   +1 more source

Improving Bert Model Accuracy for Uni-modal Aspect-Based Sentiment Analysis Task

Scalable Computing : Practice and Experience, 2023
Techniques and methods for examining users’ feelings, emotions, and views in text or other media are known as ”sentiment analysis,” this phrase is used frequently.
Amit Chauhan, R. Mohana
semanticscholar   +1 more source

Neighborhood Network for Aspect-Based Sentiment Analysis

, 2022
Different aspects of a sentence may contain different sentiments, and sentiment descriptors for a given aspect exist in different places in the sentence, making it difficult to determine its sentiment polarity. Aiming at the above problems, a neighborhood network (Nenet) for aspect-based sentiment analysis is proposed.
Liu, Huan, Dou, Quansheng
openaire   +2 more sources

Aspect-Based Sentiment Analysis on Indonesian Restaurant Review Using a Combination of Convolutional Neural Network and Contextualized Word Embedding

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Someone's opinion on a product or service that is poured through a review is something that is quite important for the owner or potential customer. However, the large number of reviews makes it difficult for them to analyze the information contained in ...
Putri Rizki Amalia, Edi Winarko
doaj   +1 more source

Aspect-based sentiment analysis using smart government review data [PDF]

Applied Computing and Informatics
Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help government entities gain insights on the needs and expectations of their customers ...
Omar Alqaryouti, Nur Siyam, Azza Abdel Monem, Khaled Shaalan   +3 more
doaj   +1 more source

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

North American Chapter of the Association for Computational Linguistics, 2021
It is popular that neural graph-based models are applied in existing aspect-based sentiment analysis (ABSA) studies for utilizing word relations through dependency parses to facilitate the task with better semantic guidance for analyzing context and ...
Yuanhe Tian, Guimin Chen, Yan Song
semanticscholar   +1 more source

Arabic aspect sentiment polarity classification using BERT

Journal of Big Data, 2022
Aspect-based sentiment analysis (ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of research on ABSA is in English, with a small amount of work available in Arabic.
Mohammed M. Abdelgwad, Taysir Hassan A. Soliman, Ahmed I. Taloba   +2 more
doaj   +1 more source

Span-level Aspect-based Sentiment Analysis via Table Filling

Annual Meeting of the Association for Computational Linguistics, 2023
In this paper, we propose a novel span-level model for Aspect-Based Sentiment Analysis (ABSA), which aims at identifying the sentiment polarity of the given aspect.
Mao Zhang, Yongxin Zhu, Z. Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu   +6 more
semanticscholar   +1 more source

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

Proceedings of the AAAI Conference on Artificial Intelligence
Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has received much attention recently. Many works investigate sentiment information through opinion words, such as "good'' and "bad''. However, implicit sentiment data widely exists in the ABSA dataset, whose sentiment polarity is hard to determine due to the lack of ...
Ouyang, Jihong, Yang, Zhiyao, Liang, Silong, Wang, Bing, Wang, Yimeng, Li, Ximing   +5 more
openaire   +2 more sources

Zero-Shot Aspect-Based Sentiment Analysis

, 2022
Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning. It is a big challenge to scale ABSA to a large number of new domains. This paper aims to train a unified model that can perform zero-shot ABSA without using any annotated data for a new domain.
Shu, Lei, Xu, Hu, Liu, Bing, Chen, Jiahua   +3 more
openaire   +2 more sources