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Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-020-03534-7
Abstract: Comments from social media platforms (such as YouTube) have become a valuable resource for manufacturers to examine public opinion toward their products. Accordingly, we propose a novel framework for automatically collecting, filtering, and analyzing comments…
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Keywords:
sentence aspect;
aspect level;
sentiment analysis;
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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 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 "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
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Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.558
Abstract: Recently, many users prefer online shopping to purchase items from the web. Shopping websites allow customers to submit comments and provide their feedback for the purchased products. Opinion mining and sentiment analysis are used to…
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Keywords:
opinion mining;
aspect level;
level opinion;
opinion ... See more keywords