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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
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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
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Aromatics Extraction. 2. Economic Aspects
Chemical Engineering Transactions, 2014 Besides the core-equipment design parameters, investment and operational costs of a separation unit are influenced by the down-stream separation apparatuses design. In case of aromatics liquid-phase extraction, down-stream processing is represented by the extraction solvent regeneration carried out in order to obtain pure products, i.e.
Steltenpohl P., Graczova E.
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Explicit aspect extraction techniques: Review
Journal of Al-Qadisiyah for Computer Science and Mathematics, 2022 Sentiment analysis is gathering opinion keywords, such as aspects, opinions, or features- and figuring out their semantic perspective relations. More specifically, aspect-based sentiment analysis – (ABSA) is a subfield of natural language that focuses on
Arwa Akram, A. Sabir
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Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach
Journal of Intelligent Systems, 2018 Because of exponential growth in the number of people who purchase products online, e-commerce organizations are vying for each other to offer innovative and improved services to its customers.
Anoop V.S., Asharaf S.
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Scheduling aspects in keyword extraction problem [PDF]
International Transactions in Operational Research, 2017 AbstractThe amount of big data collected during human–computer interactions requires natural language processing (NLP) applications to be executed efficiently, especially in parallel computing environments. Scalability and performance are critical in many NLP applications such as search engines or web indexers.
Michal Zimniewicz +2 more
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An Unsupervised Neural Attention Model for Aspect Extraction
Annual Meeting of the Association for Computational Linguistics, 2017 Aspect extraction is an important and challenging task in aspect-based sentiment analysis. Existing works tend to apply variants of topic models on this task. While fairly successful, these methods usually do not produce highly coherent aspects.
Ruidan He +3 more
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ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each ...
Zohreh Madhoushi +2 more
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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
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Implicit Aspect Extraction from Online Clothing Reviews with Fine-tuning BERT Algorithm
Journal of Physics: Conference Series, 2021 In the era of e-commerce, tremendous product reviews can provide quick and valuable insight into the market trends. Aspect-based sentiment analysis (ABSA) on product reviews is becoming increasingly important for both companies and consumers.
Li Yu, Xuefei Bai
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