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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.
Bollegala, Danushka +2 more
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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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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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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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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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Challenges and Issues in Sentiment Analysis: A Comprehensive Survey
IEEE Access, 2023 Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan +1 more
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Research on traditional Mongolian sentiment analysis combined with prior knowledge [PDF]
E3S Web of Conferences, 2022 In order to solve some problems of traditional machine learning algorithms in Mongolian sentiment analysis tasks, such as low accuracy, few sentiment corpus, and poor training effect, a Traditional Mongolian sentiment classification algorithm integrates ...
Zhang Qian, Ren Qingdaoerji, Ji Yatu
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