Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis
Applied Sciences, 2023 Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine-
Jie Huang, Yunpeng Cui, Shuo Wang
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Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014 We present a method that learns word embedding for Twitter sentiment classification in this paper. Most existing algorithms for learning continuous word representations typically only model the syntactic context of words but ignore the sentiment of text. This is problematic for sentiment analysis as they usually map words with similar syntactic context
Duyu Tang +5 more
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EURASIP Journal on Image and Video Processing, 2019 As an information carrier with rich semantics, images contain more sentiment than texts and audios. So, images are increasingly used by people to express their opinions and sentiments in social network. The sentiments of the images are overall and should
Haitao Xiong +3 more
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CORPUS DEVELOPMENT FOR MALAY SENTIMENT ANALYSIS USING SEMI SUPERVISED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2020 Research on sentiment analysis have gained so much interest currently. However, research on Malay sentiment analysis and the availability of the resources is still lacking.
Ezuana Sukawai, Nazlia Omar
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SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
, 2017 In online social networks people often express attitudes towards others, which forms massive sentiment links among users. Predicting the sign of sentiment links is a fundamental task in many areas such as personal advertising and public opinion analysis.
Guo, Minyi +5 more
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Comparison Research on Text Pre-processing Methods on Twitter Sentiment Analysis
IEEE Access, 2017 Twitter sentiment analysis offers organizations ability to monitor public feeling towards the products and events related to them in real time. The first step of the sentiment analysis is the text pre-processing of Twitter data.
Zhao Jianqiang, Gui Xiaolin
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Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis [PDF]
, 2016 The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis.
De Clercq, Orphée, Hoste, Veronique
core
Automatically extracting polarity-bearing topics for cross-domain sentiment classification [PDF]
, 2011 Joint sentiment-topic (JST) model was previously proposed to detect sentiment and topic simultaneously from text. The only supervision required by JST model learning is domain-independent polarity word priors.
Alani, Harith, He, Yulan, Lin, Chenghua
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Cross-Domain Sentiment Classification With Bidirectional Contextualized Transformer Language Models
IEEE Access, 2019 Cross-domain sentiment classification is an important Natural Language Processing (NLP) task that aims at leveraging knowledge obtained from a source domain to train a high-performance learner for sentiment classification on a target domain.
Batsergelen Myagmar +2 more
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Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]
, 2013 Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith +3 more
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