Results 21 to 30 of about 4,837 (247)
Exploring E-Commerce Product Experience Based on Fusion Sentiment Analysis Method
IEEE Access, 2022 With the speedy development of e-commerce, a growing number of customers tend to share their subjective perceptions of the product or service on the Internet. This phenomenon makes the commercial value of online reviews increasingly prominent.
Huaqian He, Guijun Zhou, Shuang Zhao
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A Blended Soft Computing Model for Stock Value Prediction
Jordanian Journal of Computers and Information Technology, 2023 Stock investments play a crucial role in deciding the global economic growth of the country. Investors can optimize profit and avoid risk through accurate stock value prediction models, which motivates researchers to work on various aspects of correlated
Usha Devi NSSSN, Dr. Mohan R
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Sentiment Analysis of Chinese Comments Based on Hybrid Vector Model [PDF]
Jisuanji gongcheng, 2020 In order to solve the problem of insufficient expression of sentiment information in the TF-IDF model,this paper proposes the Senti model to extract the sentiment information in the text,including positive/negative sentiment words,negative words ...
CHEN Xi, ZHU Xiaodong, GAO Guangkuo, XIAO Fangxiong
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Japanese Dictionary for Sentiment Analysis of Counselling Text
Proceedings of the 9th International Conference on Human-Agent Interaction, 2021 Chat-based counselling has become increasingly popular in the era of telecommunication. The need for accessible therapy has been exacerbated by the COVID-19 pandemic. Given its text-based nature, chat-based counselling provides an opportunity for machine-based analysis. It even has the potential to provide machine-based counselling services.
Masataka Nakayama +6 more
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Building a Sentiment Dictionary for Croatian [PDF]
, 2021 The work presented in this paper aims to provide the research community with a set of sentiment lexicons constructed by expanding existing sentiment dictionary resources for Croatian. Our corpus-based syntactic dependency graph approach to sentiment value propagation led us to release automatically generated sentiment lexicons.
Ban Kirigin, Tajana +2 more
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Future Internet, 2023 Social media have been a valuable data source for studying people’s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open ...
Alireza Alaei +3 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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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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Sentiment Classification Algorithm Based on the Cascade of BERT Model and Adaptive Sentiment Dictionary [PDF]
Wireless Communications and Mobile Computing, 2021 The mobile social network contains a large amount of information in a form of commentary. Effective analysis of the sentiment in the comments would help improve the recommendations in the mobile network. With the development of well‐performing pretrained language models, the performance of sentiment classification task based on deep learning has seen ...
Ruixue Duan +4 more
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Journal of ICT, 2020 Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature.
Zahra Bokaee Nezhad +1 more
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