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Social Robots and Sentimentality
2014In this paper I discuss the objection that we are deplorably sentimental, i.e., we misrepresent the world in order to indulge in certain feelings, whenever we feel affection and act in an affectionate way towards certain social robots. I will focus my discussion on documented behaviors typically of elderly people towards pet robots such as Paro.
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A sentimental education: The place of sentiments in personality and social psychology
Behavioral and Brain Sciences, 2017Abstract“Sentiment” is a potentially appealing concept for social and personality psychologists. It can render some complex affective phenomena theoretically tractable, help refine accounts of social perception, and illuminate some personality dispositions.
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Sentiment community detection: exploring sentiments and relationships in social networks
Electronic Commerce Research, 2016Social networking sites (SNS), which allow users to express opinions on products/services, have become an important channel and platform for enterprises to acquire and trace users' sentiments in order to design appropriate business strategies and online marketing campaigns.
Dong Wang +3 more
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Sentiment community detection in social networks
Proceedings of the 2011 iConference, 2011With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks.
Kaiquan Xu +2 more
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Effects of sentiment on recommendations in social network
Electronic Markets, 2018This study adopted a sentiment word database to extract sentiment-related data from microblog posts. These data were then used to investigate the effect of different types of sentiment-related words on product recommendations. The results indicate that posts containing strong sentiments received more clicks than posts containing neutral sentiments ...
Ping-Yu Hsu 0001 +5 more
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Visualizing sentiment change in social networks
Proceedings of the 8th Latin American Conference on Human-Computer Interaction, 2017This paper presents SCWorld, a novel scheme for visualizing sentiment changes in real-time in social networks. Two main features distinguish SCWorld from existing work in sentiment classification in real time: First, it provides a high-level, large-granularity view of sentiment and relationships among dynamic clusters of topics in a social network ...
Omar Valdiviezo +2 more
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Modeling Sentiment Evolution for Social Incidents
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019Modeling sentiment evolution for social incidents in Microblogs is of vital importance for both enterprises and government officials. Existing works on sentiment tracking are not satisfying, due to the lack of entity-level sentiment extraction and accurate sentiment shift detection.
Yunjie Wang, Hui Li 0057, Chen Lin 0001
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Sentiment Analysis for Social Media Images
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015In this proposal, we study the problem of understandinghuman sentiments from large scale collection ofInternet images based on both image features and contextualsocial network information (such as friend comments anduser description). Despite the great strides in analyzing usersentiment based on text information, the analysis of sentimentbehind the ...
Yilin Wang 0002, Baoxin Li
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Sentiment Analysis of Events in Social Media
2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), 2019The growing popularity of Online Social Networks has open new research directions and perspectives for content analysis, i.e., Network Analysis and Natural Language Processing. From the perspective of information spread, the Network Analysis community propose Event Detection.
Alexandru Petrescu +2 more
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A survey of sentiment analysis in social media
Knowledge and Information Systems, 2018Sentiments or opinions from social media provide the most up-to-date and inclusive information, due to the proliferation of social media and the low barrier for posting the message. Despite the growing importance of sentiment analysis, this area lacks a concise and systematic arrangement of prior efforts.
Lin Yue +4 more
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