Feb 10, 2020 · The approach relies on topical influential users and images, where topic distribution is revealed by leveraging user-contributed images, and ...

[Show full abstract] benefit business domain. This chapter sheds the light on core aspects that lay the foundations for social big data analytics. In particular ...

Jan 19, 2020 · Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness ...

Time-aware domain-based social influence prediction. Language: English ... and predict users' credibility in numerous domains at different time periods.

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning ...

Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and ...

Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness in numerous ...

Jan 23, 2020 · Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness ...

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules ...

The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules ...