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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.023
Abstract: Abstract Existing studies learn sentiment-specific word representations to boost the performance of Twitter sentiment classification, via encoding both n-gram and distant supervised tweet sentiment information in learning process. Pioneer efforts explicitly or implicitly assume that…
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Keywords:
word;
sentiment;
twitter sentiment;
sentiment classification ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.013
Abstract: Abstract Existing aspect-level sentiment-classification models completely rely on the learning from given datasets. However, these are easily misled by biased samples, resulting in learning some ill-suited rules that limit their potential. The information of some…
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Keywords:
information;
pos;
sentiment;
aspect level ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2954590
Abstract: Aspect-level sentiment classification is a fine-grained sentiment analysis task. It aims to predict the sentiment of a review in different aspects. Recently many works exploit the hierarchical attention network to capture the aspect-specific sentiment information.…
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Keywords:
hierarchical attention;
sentiment;
attention;
level sentiment ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078114
Abstract: A variety of independent research activities have recently been undertaken to explore the feasibility of incorporating social networking principles into the Internet of Things solutions. The resulting model, called the Social Internet of Things, has…
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Keywords:
model;
level sentiment;
sentiment analysis;
sentiment ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3174215
Abstract: Video-level sentiment analysis is a challenging task and requires systems to obtain discriminative multimodal representations that can capture difference in sentiments across various modalities. However, due to diverse distributions of various modalities and the unified…
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Keywords:
level sentiment;
video level;
sentiment analysis;
multimodal ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2963927
Abstract: Text sentiment classification is of critical importance to improve the autonomous decision making and communication ability among object peers in the Social Internet of Things (SIoT). To classify sentiment polarity on a fine-grained level, aspect-level…
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Keywords:
sentiment classification;
sentiment;
level sentiment;
attention ... See more keywords
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Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.3042253
Abstract: Aspect-level sentiment classification determines the sentiment polarity of a targeted aspect. To solve this task, attention-based neural networks are typically adopted to explore the interaction between the aspect and its context in a single sentence.…
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Keywords:
gsmnet;
global semantic;
aspect level;
semantic memory ... See more keywords
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Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9173522
Abstract: Aspect-level sentiment analysis has drawn growing attention in recent years, with higher performance achieved through the attention mechanism. Despite this, previous research does not consider some human psychological evidence relating to language interpretation. This results…
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Keywords:
word;
aspect level;
sentiment analysis;
level sentiment ... See more keywords
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Published in 2022 at "Future Internet"
DOI: 10.3390/fi14100300
Abstract: This article helps establish reliable baselines for document-level sentiment analysis in highly inflected languages like Czech and Slovak. We revisit an earlier study representing the first comprehensive formulation of such baselines in Czech and show…
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Keywords:
level sentiment;
baselines document;
document level;
reliable baselines ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051072
Abstract: Sentiment analysis is the processing of textual data and giving positive or negative opinions to sentences. In the ABSA dataset, most sentences contain one aspect of sentiment polarity, or sentences of one aspect have multiple…
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Keywords:
level sentiment;
sentiment;
research aspect;
aspect level ... See more keywords