Results 21 to 30 of about 814,629 (342)
Weakly Supervised Learning Approach for Implicit Aspect Extraction
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
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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
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Aromatics Extraction. 2. Economic Aspects
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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Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach
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
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Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation
Syntactical rule based approaches for aspect extraction, which are free from expensive manual annotation, are promising in practice. These approaches extract aspects mainly through the dependency relations in the surface sentence structures.
Xuelian Li +6 more
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Aspect Extraction from Bangla Reviews Through Stacked Auto-Encoders
Interactions between online users are growing more and more in recent years, due to the latest developments of the web. People share online comments, opinions, and reviews about many topics. Aspect extraction is the automatic process of understanding the
Matteo Bodini
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Span-Level Dual-Encoder Model for Aspect Sentiment Triplet Extraction [PDF]
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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Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
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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Improving aspect-level sentiment analysis with aspect extraction
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
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Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach
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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