Results 21 to 30 of about 780,590 (335)
Improving aspect-level sentiment analysis with aspect extraction
Neural Computing and Applications, 2020 Aspect-based sentiment analysis (ABSA), a popular research area in NLP, has two distinct parts—aspect extraction (AE) and labelling the aspects with sentiment polarity (ALSA). Although distinct, these two tasks are highly correlated. The work primarily hypothesizes that transferring knowledge from a pre-trained AE model can benefit the performance of ...
Navonil Majumder +4 more
openaire +4 more sources
Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
doaj +1 more source
IEEE Access, 2023 Sentiment analysis is an active research domain of the current era, thanks to its vast applications. The main objective is to classify the polarity of the given text as negative, positive, or neutral.
Waqas Ahmad +3 more
doaj +1 more source
Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
Proceedings of the First Workshop on Economics and Natural Language Processing, 2018 This paper focuses on aspect extraction which is a sub-task of Aspect-based Sen- timent Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment taxonomy for the iden- tification of explicit and implicit aspects.
Gaillat, Thomas +5 more
openaire +4 more sources
Extracting Customer Reviews from Online Shopping and Its Perspective on Product Design [PDF]
Vietnam Journal of Computer Science, 2019 This paper presents a study on how we can extract helpful review from customers and its effect on the early phase when designing a product. We present a framework for analyzing the reviews from online shopping sites by detecting helpful reviews, aspects,
Kieu Que Anh +2 more
doaj +1 more source
Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
doaj +1 more source
Informatics, 2018 Online reviews are an important source of opinion to measure products’ quality. Hence, automated opinion mining is used to extract important features (aspect) and related comments (sentiment).
Noor Rizvana Ahamed Kabeer +2 more
doaj +1 more source
Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach
Journal of ICT, 2022 In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi +1 more
doaj +1 more source
Span-Level Dual-Encoder Model for Aspect Sentiment Triplet Extraction [PDF]
Jisuanji kexue yu tansuo, 2023 Aspect sentiment triplet extraction (ASTE) is one of the subtasks of aspect-based sentiment analysis, which aims to identify all aspect terms, their corresponding opinion terms and sentiment polarities in sentences.
ZHANG Yunqi, LI Songda, LAN Yuquan, LI Dongxu, ZHAO Hui
doaj +1 more source
Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to its extensive applications. Most of the existing ABSA methods been applied on small-sized labeled datasets.
Sumaia Mohammed Al-Ghuribi +2 more
doaj +1 more source