Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts

Xu, Hua; Yang, Weiwei; Wang, Jiushuo

doi:10.1016/j.eswa.2015.07.028

Cited by 37 publications

(23 citation statements)

References 18 publications

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“…Choi and Toma (2014) suggest that emotions play an important role in the diffusion of content throughout Social Networks. In turn, Xu et al (2015) highlight the important role of the emotional factor in contemporary research on the content of microblogs. The emotions presented there can be positive, negative or neutral (Li, Xu 2014).…”

Section: Emotions and Social Mediamentioning

confidence: 99%

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Blog Content Management in Shaping Pro Recreational Attitudes

Stepaniuk

2017

Journal of Business Economics and Management

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Abstract. The main aim of this article was to research the impact of the content of recreational blogs on the change of attitude and behaviours of their recipients, as well as creating the basis to manage the content of blogs directed to achieve particular results. The study was conducted with the use of quantitative and qualitative content analysis. The contents of 691 comments left by 4 main types of commentators were analysed. The evaluation of individual entries was performed using the assumptions of the modified AIDA model of consumer behaviour. The possibility of a positive causal link between the presented content and the appearance of the signs of its impact on the behaviour of individuals tracking the posts has been proven to a minor extent only. Merely 0.5% of commentators and individuals were not engaged in running declared changing their way of life to a pro recreational and sports-related one. Conducting analyses directly on the large, narrative story-telling content with the use of a consumer behaviour model is a novelty of this paper and rarely appears in the scientific literature. The theoretical significance of the work is connected with the development of the theory of marketing management in the context of social networks content management.

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Section: Emotions and Social Mediamentioning

confidence: 99%

“…The mechanism of the impact of such content on the everyday lives of the audiences is in many cases underestimated. An integral part of the message contained in the content presented in the social networks is very often the externalization and transfer of emotions (Xu et al 2015).…”

Section: Behaviours Of Social Media Content Recipientsmentioning

confidence: 99%

Blog Content Management in Shaping Pro Recreational Attitudes

Stepaniuk

2017

Journal of Business Economics and Management

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“…The emotional factor is also important with regard to the method of interpretation. Xu et al (2015) argue that social media provide a platform for the presentation and transfer of emotions, which can have a positive, negative or neutral character (Li & Xu, 2014). Choi & Tom (2014) indicate the importance of the emotional component in the transfer of content via social networks.…”

Section: Social Media and Their Connections With The Meme Theorymentioning

confidence: 99%

Memetic pool as a new approach in service quality analysis

Stepaniuk

2016

Ekonomia I Zarzadzanie

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Memetic pool as a new approach in service quality analysisKrzysztof Stepaniuk A B S T R A C T This paper attempts to decompose, as well as perform a quantitative and qualitative analysis of the way to externalize the perception of the accommodation service. The research material consisted of the opinions of users of accommodation facilities, located in the vicinity of the twelve selected national parks in Poland. It was assumed that the reflection of the perception of the quality of the service process is the transfer of intangible content related to the service itself, which can be externalized, among other things, through entries in social networks.The study was conducted based on the theory of memes as cultural information carriers. According to this theory, in such a transmission, it is possible to distinguish certain components, which can be defined as memes. Therefore, it is possible to analyse and track their presence, transfer, as well as incidence. A memetic pool was constructed using the assumptions of the perceptual-cognitive model of the formation of the tourism image. It was a direct expression of the mental changes of the recipient, resulting from the use of the service. Studies of this type are intended to optimize the design of services in terms of building positive relationships on the line service provider-customer. At the same time, they allow for a slightly different, evolutionary approach to analyses, concerning the formation of the image of the service provider, as well as forming the expectations of service recipients. K E Y W O R D S accommodation service, service quality perception, meme theory, meme transfer, User Generated Content, memetic pool formation

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“…The test data emphasized largely on emoticons and were significantly accurate predicting the sentiments. Xu et al [2] classifies and analyses emotion on hierarchy for the Chinese blog posts which significant results. Gunarathne et al [7] developed the Intellemo system for the instant messager used in smart phones.…”

Section: Introductionmentioning

confidence: 99%

LINE Chat Record Emotion Classification Using SVM

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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There is abundance of precious information that can be tapped from the Social network sites. Much research has been done using data mining to tap information that can be used to forecast user emotion. It can also be used in user behavior forecasting like pop forecasting, stock analyses and more. However, most information is easily collected from the public domains. Most research is focused on public information analysis while very little research is focused on the private less accessible information. In this paper, the public post records from twitter are used to analyze private chat record from LINE. Training of the data is performed using support vector machine (SVM). The network public data are training data and the personal private data are testing data for emotion classification. Results showed that the public data used to analyze private data is feasible and resulted in significant level of accuracy.

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Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts

Cited by 37 publications

References 18 publications

Blog Content Management in Shaping Pro Recreational Attitudes

Blog Content Management in Shaping Pro Recreational Attitudes

Memetic pool as a new approach in service quality analysis

LINE Chat Record Emotion Classification Using SVM

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