Results 21 to 30 of about 23,355,349 (344)
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 With Sarcasm Detection On Politician’s Instagram
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sarcasm is one of the problem that affect the result of sentiment analysis. According to Maynard and Greenwood (2014), performance of sentiment analysis can be improved when sarcasm also identified. Some research used Naïve Bayes and Random Forest method
Aisyah Muhaddisi +2 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
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A Comprehensive Survey on Sentiment Analysis Techniques
International Journal of Technology, 2023 Sentiment analysis is a natural language processing (NLP) technique used to decide if the underlying sentiment is positive, negative, or neutral. Subjective information from the text can be extracted using sentiment analysis by recognizing its context
Farhan Aftab +6 more
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Multimodal Sentiment Analysis With Image-Text Interaction Network
IEEE transactions on multimedia, 2023 More and more users are getting used to posting images and text on social networks to share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a research topic of increasing interest in recent years.
Tong Zhu +5 more
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Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models [PDF]
Social Science Research Network, 2023 Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements.
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
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HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis
IEEE Access, 2020 Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
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Econometrics meets sentiment : an overview of methodology and applications [PDF]
, 2020 The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis ...
Algaba, Andres +4 more
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Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect-based sentiment analysis is a fine-grained sentiment classification task. Recently, graph neural networks over dependency trees have been explored to explicitly model connections between aspects and opinion words.
Ruifan Li +5 more
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A global optimization approach to multi-polarity sentiment analysis. [PDF]
PLoS ONE, 2015 Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification.
Xinmiao Li, Jing Li, Yukeng Wu
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