Results 1 to 10 of about 26,043,837 (313)
Sentiment analysis and prediction model based on Chinese government affairs microblogs
Heliyon, 2023 Existing sentiment analysis research on Chinese government affairs microblogs primarily focuses on the task of sentiment classification on microblogs. There has been a lack of investigation into the correlation of each government affairs microblog with ...
Meng Li, Yucheng Shi
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A review on sentiment analysis from social media platforms
Expert systems with applications, 2023 Sentiment analysis has proven to be a valuable tool to gauge public opinion in different disciplines. It has been successfully employed in financial market prediction, health issues, customer analytics, commercial valuation assessment, brand marketing ...
Margarita Rodríguez-Ibáñez +3 more
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IEEE Access, 2020 Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language ...
Sergey Smetanin
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A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research
Applied Sciences, 2023 Sentiment analysis is a critical subfield of natural language processing that focuses on categorizing text into three primary sentiments: positive, negative, and neutral.
Kian Long Tan, C. Lee, K. Lim
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Sentiment analysis classification system using hybrid BERT models
Journal of Big Data, 2023 Because of the rapid growth of mobile technology, social media has become an essential platform for people to express their views and opinions. Understanding public opinion can help businesses and political institutions make strategic decisions ...
Amira Samy Talaat
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Multimodal Sentiment Analysis: A Survey
Displays, 2023 It needs to be returned for major ...
Songning Lai +4 more
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Bayesian estimation‐based sentiment word embedding model for sentiment analysis
CAAI Transactions on Intelligence Technology, 2022 Sentiment word embedding has been extensively studied and used in sentiment analysis tasks. However, most existing models have failed to differentiate high‐frequency and low‐frequency words.
Jingyao Tang +7 more
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A BERT Framework to Sentiment Analysis of Tweets
Italian National Conference on Sensors, 2023 Sentiment analysis has been widely used in microblogging sites such as Twitter in recent decades, where millions of users express their opinions and thoughts because of its short and simple manner of expression.
Abayomi Bello +2 more
semanticscholar +1 more source
Text sentiment visual analysis technology and its application in humanities
大数据, 2022 Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG +6 more
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2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 Social media has become an important information source with the expanding internet and ideas shared by the people. The social media raw data which is quite disordered and messy can not be processed as it is and obtain adequate results. In this study, sentiment analysis has been performed by collecting data from the Twitter. To perform this analysis an
Meric Meral, Banu Diri
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