Publication | Open Access
A Space-Time Framework for Sentiment Scope Analysis in Social Media
26
Citations
53
References
2022
Year
EngineeringSocial Medium MonitoringCommunicationMultimodal Sentiment AnalysisSocial NetworkJournalismText MiningNatural Language ProcessingComputational Social ScienceSocial MediaData ScienceContent AnalysisSocial Medium MiningSocial Network AnalysisSocial NetworksTraditional Spatial ScopeSentiment ScopeSocial ComputingSocial Medium DataArtsLinguisticsMedium Analytics
The concept of scope was introduced in Social Network Analysis to assess the authoritativeness and convincing ability of a user toward other users on one or more social platforms. It has been studied in the past in some specific contexts, for example to assess the ability of a user to spread information on Twitter. In this paper, we propose a new investigation on scope, as we want to assess the scope of the sentiment of a user on a topic. We also propose a multi-dimensional definition of scope. In fact, besides the traditional spatial scope, we introduce the temporal one, which has never been addressed in the literature, and propose a model that allows the concept of scope to be extended to further dimensions in the future. Furthermore, we propose an approach and a related set of parameters for measuring the scope of the sentiment of a user on a topic in a social network. Finally, we illustrate the results of an experimental campaign we conducted to evaluate the proposed framework on a dataset derived from Reddit. The main novelties of this paper are: (i) a multi-dimensional view of scope; (ii) the introduction of the concept of sentiment scope; (iii) the definition of a general framework capable of analyzing the sentiment scope related to any subject on any social network.
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