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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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces [PDF]
, 2018 We combine multi-task learning and semi-supervised learning by inducing a joint embedding space between disparate label spaces and learning transfer functions between label embeddings, enabling us to jointly leverage unlabelled data and auxiliary ...
Augenstein, Isabelle +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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Sentiment Analysis for Words and Fiction Characters From The Perspective of Computational (Neuro-)Poetics [PDF]
, 2019 Two computational studies provide different sentiment analyses for text segments (e.g., ‘fearful’ passages) and figures (e.g., ‘Voldemort’) from the Harry Potter books (Rowling, 1997 - 2007) based on a novel simple tool called SentiArt.
Jacobs, Arthur M.
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Research Directions, Challenges and Issues in Opinion Mining [PDF]
, 2013 Rapid growth of Internet and availability of user reviews on the web for any product has provided a need for an effective system to analyze the web reviews.
Hariharan, Shanmugasundaram +2 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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SemEval-2016 task 5 : aspect based sentiment analysis [PDF]
, 2016 International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud +18 more
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Aspect-based Sentiment Analysis Based on Aspect Semantic and Gated Filtering Network [PDF]
Jisuanji kexue, 2023 Aspect-based sentiment analysis(ABSA)is a fine-grained sentiment analysis,which aims to predict sentiment polarity of text toward a specific aspect.Currently,given the excellent capabiities of recurrent neural networks(RNN) in sequence mode-ling and the ...
HE Zhihao, CHEN Hongmei, LUO Chuan
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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
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