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Social Media Sentiment Analysis
EncyclopediaSocial media sentiment analysis is the computational detection and extraction of human subjective evaluation of objects embedded on social media. Previous sentiment analysis was conducted on isolated written texts, and typically classified sentiment into
Joyce Y. M. Nip, Benoit Berthelier
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Sentiment analysis of social media for enhancing disaster response strategies [PDF]
Frontiers in Public HealthIntroductionThe growing dependence on real-time social media data for situational awareness during disasters highlights the need for sophisticated sentiment analysis systems specifically designed for crisis contexts.
YuXia Chen, WanJun Hu, Lingwei Zeng
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Entropy, 2022 Financial economic research has extensively documented the fact that the impact of the arrival of negative news on stock prices is more intense than that of the arrival of positive news.
Román A. Mendoza-Urdiales +3 more
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The Social contract with endogenous sentiments [PDF]
SSRN Electronic Journal, 2007 Moral values infuence individual behavior and social interactions. A specially signif- cant instance is the case of moral values concerning work e¤ort. Individuals determine what they take to be proper behaviour and judge the others, and themselves, accordingly.
Cervellati, Matteo +4 more
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ISPRS International Journal of Geo-Information, 2021 Understanding sentiment changes in tourist flow is critical in designing exciting experiences for tourists and promoting sustainable tourism development.
Wei Jiang +5 more
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Feasible Trend Prediction for 2019 Indian General Elections [PDF]
E3S Web of Conferences, 2023 The popularity and accessibility of social media applications, such as Twitter, has increased over the past few years at a rapid pace. Users from different parts of the world use it to share thoughts with each other.
Poornima Ediga +4 more
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Exploiting Long-Term Dependency for Topic Sentiment Analysis
IEEE Access, 2020 Most existing unsupervised approaches to detect topic sentiment in social texts consider only the text sequences in corpus and put aside social dynamics, as leads to algorithm’s disability to discover true sentiment of social users. To address the
Faliang Huang +3 more
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Sentiment Analysis for Social Media [PDF]
Applied Sciences, 2019 Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturity that paves the way for its exploitation in many different fields such as marketing, health, banking or politics. The latest technological advancements, such as deep learning techniques, have solved some of the traditional ...
Carlos A. Iglesias, Antonio Moreno
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Spatial effect of market sentiment on housing price: evidence from social media data in China
International Journal of Strategic Property Management, 2022 Market sentiment has become more easily spread between cities through social media. This study investigates the spatial effect of market sentiment on housing price in a social media environment. In order to extract home-buyer sentiment from social media,
Junjie Li, Yu Wang, Chunlu Liu
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Scientific African, 2023 Social media sentiment applied in the stock market is extracted from social media platforms and researchers have grappled with the way it influences different stock market features like returns, trading volume and volatility.
Kingstone Nyakurukwa, Yudhvir Seetharam
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