Results 21 to 30 of about 379,431 (345)
Adversarial Training for Aspect-Based Sentiment Analysis with BERT [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Aspect-Based Sentiment Analysis (ABSA) deals with the extraction of sentiments and their targets. Collecting labeled data for this task in order to help neural networks generalize better can be laborious and time-consuming. As an alternative, similar data to the real-world examples can be produced artificially through an adversarial process which is ...
Akbar Karimi +2 more
openalex +4 more sources
Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
IEEE Access, 2021 Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis.
Ruba Obiedat +3 more
doaj +1 more source
Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis [PDF]
Findings of the Association for Computational Linguistics: ACL 2023, 2023 We examine the behaviour of an aspect-based sentiment classifier built by fine-tuning the BERTBASE model on the SemEval 2016 English dataset. In a set of masking experiments, we examine the extent to which the tokens identified as salient by LIME and a gradient-based method are being used by the classifier. We find that both methods are able to produce
Wagner, Joachim, Foster, Jennifer
openaire +2 more sources
Aspect-based Sentimental Analysis for Travellers’ Reviews
SSRN Electronic Journal, 2023 Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire review without specifically ...
Alaydaa, Mohammed Saad M +2 more
openaire +2 more sources
A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
doaj +1 more source
Aspect-based Sentiment Analysis of Scientific Reviews [PDF]
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020 Accepted in JCDL ...
Animesh Mukherjee +2 more
openaire +3 more sources
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes +5 more
doaj +1 more source
Human-Centric Intelligent Systems, 2023 This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
doaj +1 more source
Arabic Aspect-Based Sentiment Classification Using Seq2Seq Dialect Normalization and Transformers
Knowledge, 2022 Sentiment analysis is one of the most important fields of natural language processing due to its wide range of applications and the benefits associated with using it.
Mohammed ElAmine Chennafi +3 more
doaj +1 more source
ALBERTC-CNN Based Aspect Level Sentiment Analysis
IEEE Access, 2021 In order to solve the problem that most aspect level sentiment analysis networks cannot extract the global and local information of the context at the same time.
Xingxin Ye, Yang Xu, Mengshi Luo
doaj +1 more source