Results 11 to 20 of about 17,106 (265)
Sentiment Classification of News Text Data Using Intelligent Model [PDF]
Frontiers in Psychology, 2021 Text sentiment classification is a fundamental sub-area in natural language processing. The sentiment classification algorithm is highly domain-dependent.
Shitao Zhang
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Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2013 Automatic classification of sentiment is important for numerous applications such as opinion mining, opinion summarization, contextual advertising, and market analysis. However, sentiment is expressed differently in different domains, and annotating corpora for every possible domain of interest is costly.
Danushka Bollegala, David Weir
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Chinese Implicit Sentiment Classification Combining Multiple Linguistic Features [PDF]
Jisuanji kexue, 2023 Sentiment analysis has always been a hot research direction in natural language processing.Implicit sentiment classification refers to the task of sentiment classification without explicit sentiment words.At present,implicit sentiment analysis is still ...
LU Liangqian, WANG Zhongqing, ZHOU Guodong
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Aspect-based sentiment classification model employing whale-optimized adaptive neural network [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Nowadays in e-commerce applications, aspect-based sentiment analysis has become vital, and every consumer started focusing on various aspects of the product before making the purchasing decision on online portals like Amazon, Walmart, Alibaba, etc. Hence,
Nallathambi Balaganesh, K. Muneeswaran
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Sentiment Evaluation Based Hierarchical Text Representation Method for Sentiment Classification [PDF]
Jisuanji gongcheng, 2020 Not all words in the text have similar sentiment tendency and intensity,so it is very important for sentiment classification tasks that the context is well encoded and the key information is extracted.Therefore,this paper proposes a hierarchical ...
HU Junyi, LI Jinlong
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Deep Learning Sentiment Classification Based on Weak Tagging Information
IEEE Access, 2021 The purpose of sentiment classification is to solve the problem of automatic judgment of text sentiment tendency. In the sentiment classification task of online reviews, traditional deep learning sentiment classification models focus on algorithm ...
Chuantao Wang, Xuexin Yang, Linkai Ding
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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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Sensors, 2022 As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis.
Meikang 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"
Emmanuel Dufourq, Bruce A. Bassett
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Connection Science, 2022 Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monitoring, etc. However, the accuracy of sentiment classification for Chinese Weibo is still not satisfactory due to the complexity ...
Zhongliang Wei +4 more
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