Articles with "aspect level" as a keyword



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Joint sentence and aspect-level sentiment analysis of product comments

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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… read more here.

Keywords: sentence aspect; aspect level; sentiment analysis;
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Interactive POS-aware network for aspect-level sentiment classification

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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… read more here.

Keywords: information; pos; sentiment; aspect level ... See more keywords
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CE-HEAT: An Aspect-Level Sentiment Classification Approach With Collaborative Extraction Hierarchical Attention Network

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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.… read more here.

Keywords: hierarchical attention; sentiment; attention; level sentiment ... See more keywords
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MAN: Mutual Attention Neural Networks Model for Aspect-Level Sentiment Classification in SIoT

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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… read more here.

Keywords: sentiment classification; sentiment; level sentiment; attention ... See more keywords
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GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification

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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.… read more here.

Keywords: gsmnet; global semantic; aspect level; semantic memory ... See more keywords
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Incorporating Word Significance into Aspect-Level Sentiment Analysis

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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… read more here.

Keywords: word; aspect level; sentiment analysis; level sentiment ... See more keywords
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Research on Aspect-Level Sentiment Analysis Based on Text Comments

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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… read more here.

Keywords: level sentiment; sentiment; research aspect; aspect level ... See more keywords
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The impact of semantics on aspect level opinion mining

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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… read more here.

Keywords: opinion mining; aspect level; level opinion; opinion ... See more keywords