Results 31 to 40 of about 3,029,250 (288)
MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis
Frontiers in Physics, 2023 Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang +5 more
doaj +1 more source
Connection Science, 2022 Aspect-level sentiment classification, a significant task of fine-grained sentiment analysis, aims to identify the sentimental information expressed in each aspect of a given sentence The existing methods combine global features and local structures to ...
Subo Wei +4 more
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Attention Transfer Network for Aspect-level Sentiment Classification [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Accept to COLING ...
Fei Zhao 0012, Zhen Wu 0002, Xinyu Dai
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Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
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A Convolutional Neural Network for Aspect Sentiment Classification
CoRR, 2018 With the development of the Internet, natural language processing (NLP), in which sentiment analysis is an important task, became vital in information processing.Sentiment analysis includes aspect sentiment classification. Aspect sentiment can provide complete and in-depth results with increased attention on aspect-level.
Yongping Xing +3 more
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Exploiting Position Bias for Robust Aspect Sentiment Classification [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 Aspect sentiment classification (ASC) aims at determining sentiments expressed towards different aspects in a sentence. While state-of-the-art ASC models have achieved remarkable performance, they are recently shown to suffer from the issue of robustness. Particularly in two common scenarios: when domains of test and training data are different (out-of-
Fang Ma +2 more
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Aspect Level Sentiment Classification with Deep Memory Network [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 published in EMNLP ...
Duyu Tang, Bing Qin 0001, Ting Liu 0001
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Sentiment analysis:towards a tool for analysing real-time students feedback [PDF]
, 2014 Students' real-time feedback has numerous advantages in education, however, analysing feedback while teaching is both stressful and time consuming. To address this problem, we propose to analyse feedback automatically using sentiment analysis.
Fallahkhair, Sanaz; id_orcid +6 more
core +1 more source
, 2021 Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain sentiment value towards an aspect.
Trusca, Maria Mihaela +5 more
core +1 more source
Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification
IEEE Access, 2020 Aspect-level sentiment classification aims to determine sentiment polarities of various aspects in reviews, where each review typically contains multiple aspects, that may correspond to different polarities.
Zhuojia Wu +5 more
doaj +1 more source