Results 71 to 80 of about 144,225 (306)
Aspect-Level Sentiment Analysis of Science and Technology Policy Reviews Based on Large Language Models: A Case Study of the New Energy Vehicle Industry [PDF]
Nongye tushu qingbao xuebao[Purpose/Significance] In recent years, the rapid rise of large language model technology has shown significant advantages in understanding semantic context and capturing multidimensional sentiment tendencies.
LI Xinxin, MA Yumeng, JU Zihan, WANG Jing
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Discrete Dynamics in Nature and Society, 2020 The aim of aspect-level sentiment analysis is to identify the sentiment polarity of a given target term in sentences. Existing neural network models provide a useful account of how to judge the polarity. However, context relative position information for
Xiaodi Wang +4 more
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Sentiment Difficulty in Aspect-Based Sentiment Analysis
Mathematics, 2023 Subjectivity is a key aspect of natural language understanding, especially in the context of user-generated text and conversational systems based on large language models. Natural language sentences often contain subjective elements, such as opinions and
Adrian-Gabriel Chifu +1 more
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Self-Attention Networks and Adaptive Support Vector Machine for Aspect-Level Sentiment Classification [PDF]
, 2022 Meizhan Liu +5 more
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Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015 Most cross-lingual sentiment classification (CLSC) research so far has been performed at sentence or document level. Aspect-level CLSC, which is more appropriate for many applications, presents the additional difficulty that we consider subsentential opinionated units which have to be mapped across languages. In this paper, we extend the possible cross-
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Advanced Functional Materials, EarlyView.This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
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Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis [PDF]
, 2016 The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis.
De Clercq, Orphée, Hoste, Veronique
core
Advanced Functional Materials, EarlyView.Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco +7 more
wiley +1 more source
Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis
IEEE Access, 2020 Aspect-based sentiment analysis aims at identifying the sentiment polarity of specific aspect in the sentence. Previous work has realized the importance of the information interaction between aspect term and context.
Zebing Jia, Xiuxiu Bai, Shanmin Pang
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Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications
, 2019 Over the last few years, machine learning over graph structures has manifested a significant enhancement in text mining applications such as event detection, opinion mining, and news recommendation.
Bijari, Kayvan +3 more
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