Results 211 to 220 of about 43,662 (265)
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Learning user sentiment orientation in social networks for sentiment analysis
Information Sciences, 2022Shu Zhao, Yansen Su, Yanping Zhang
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Sentiment Analysis on yelp social network [PDF]
International Conferences on Distributed Multimedia Systems, 2017 In this paper, we propose a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the content that is generated and used within the related environments.
Flora Amato +5 more
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Sentiment Analysis on Social Media
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012The Web is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Media are influencing consumersa preferences by shaping their attitudes and behaviors. Monitoring the Social Media activities is a good way to measure customersa loyalty, keeping
Federico Neri +4 more
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Moral sentiments and social choice
Social Choice and Welfare, 2007This paper evaluates the effect of the intensity of the individual sense of fairness on the solution of Nash bargaining. In the context of Nash bargaining, comparative static analysis are made of the effect of the sense of fairness of each bargaining group on the fairness of social policy.
Edi Karni, Zvi Safra
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Social Multimedia Sentiment Analysis
Proceedings of the 25th ACM international conference on Multimedia, 2017Social multimedia refers to the multimedia content (text, images, and videos) generated by social network users for social interactions. The increasing popularity of online social networks leads to a significant amount of multimedia content generated by online social network users.
Jiebo Luo 0001 +2 more
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Sentiment Analysis of Social Issues
2012 International Conference on Social Informatics, 2012Sentiment analysis refers to a broad range of fields of natural language processing, computational linguistics, and text mining. Sentiment classification of reviews and comments has emerged as the most useful application in the area of sentiment analysis.
Mostafa Karamibekr, Ali A. Ghorbani 0001
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Sentiment Prediction in Social Networks
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018Sentiment analysis research has focused on using text for predicting sentiments without considering the unavoidable peer influence on user emotions and opinions. The lack of large-scale ground-truth data on sentiments of users in social networks has limited research on how predictable sentiments are from social ties.
Shengmin Jin, Reza Zafarani
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Sentiment Analysis for Social Sensor
2018Every day, a huge number of information is posted on social media platforms online. In a sense, the social media platform serves as a hybrid sensor system, where people communicate information through the system just like in a sensor world (we call it Social Sensor): they observe the events, and they report it.
Xiaoyu Zhu +3 more
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Sentiment Analysis on Smoking in Social Networks
2013Online social networks play a vital role in daily life to share the opinions or behaviors on different topics. The data of social networks can be used to understand health-related behaviors. In this work, we used Twitter status updates to survey of smoking behaviors among the users.
Mustafa Sofean, Matthew Smith 0001
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