Results 11 to 20 of about 265,995 (181)
Explaining Sentiment Classification [PDF]
Interspeech 2019, 2019 This paper presents a novel 1-D sentiment classifier trained on the benchmark IMDB dataset. The classifier is a 1-D convolutional neural network with repeated convolution and max pooling layers. The main contribution of this work is the demonstration of a deconvolution technique for 1-D convolutional neural networks that is agnostic to specific ...
Marvin Rajwadi +4 more
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Barekeng, 2023 Sentiment analysis is a data text analysis that classifies data into positive and negative sentiments. This study aims to obtain the results of sentiment classification related to Merdeka Belajar Kampus Merdeka policy on Twitter using support vector ...
Nurul Rezki +2 more
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Research on Sentiment Classification of Online Travel Review Text
Applied Sciences, 2020 In recent years, the number of review texts on online travel review sites has increased dramatically, which has provided a novel source of data for travel research.
Wen Chen +4 more
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Automated classification of text sentiment [PDF]
Proceedings of the South African Institute of Computer Scientists and Information Technologists, 2017 In "2017 Annual Conference of the South African Institute of Computer Scientists and Information"
Dufourq, Emmanuel, Bassett, Bruce A.
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Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. [PDF]
PLoS ONE, 2018 Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to
Hongyu Han +4 more
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Sentiment Expression Boundaries in Sentiment Polarity Classification [PDF]
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018 We investigate the effect of using sentiment expression boundaries in predicting sentiment polarity in aspect-level sentiment analysis. We manually annotate a freely available English sentiment polarity dataset with these boundaries and carry out a series of experiments which demonstrate that high quality sentiment expressions can boost the performance
Rasoul, Kaljahi, Jennifer, Foster
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Aspect-based Sentiment Classification for Word Information Enhancement Based on Sentence Information [PDF]
Jisuanji kexueAspect-based sentiment classification is a fine-grained sentiment classification task that aims to determine the sentiment polarity of specified aspect terms in a sentence.In recent years,syntactic knowledge has been widely applied in the field of aspect-
LI Yilin, SUN Chengsheng, LUO Lin, JU Shenggen
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Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT
International Journal of Computational Intelligence Systems, 2020 Sentiment classification is a fundamental task in NLP, and its aim to predict the sentiment polarities of the given texts. Recent researches show great interest in modeling Chinese sentiment classification.
Qiang Lu +5 more
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A survey of text aspect-based sentiment classification
Journal of Hebei University of Science and Technology, 2020 With the development of deep learning, aspect-based sentiment classification has achieved a lot of results in a single field and a single language, but there is room for improvement in multi-fields.
Shengwang LI +3 more
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Journal of Information Systems Engineering and Business Intelligence, 2023 Background: As a direct result of the Internet's expansion, the quantity of information shared by Internet users across its numerous platforms has increased.
Zishan Ahmed +2 more
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