The objective of this article is to conduct a systematic literature review that provides an
overview of the current state of research concerning methods and application for …

Abstract Machine learning is considered advantageous smart cities through sentiment
analysis using social media reviews. Social media reviews can be helpful inside smart cities …

Online Behavioural targeted Advertising (OBA) has risen in prominence as a method to
increase the effectiveness of online advertising. OBA operates by associating tags or labels …

Deep Learning is considered to leverage smart cities through social media sentiment
analysis. The digital content in social media can be used for many smart city applications …

In this paper, we utilize tags in Twitter (the hashtags) as an indicator of events. We first study
the properties of hashtags for event detection. Based on several observations, we proposed …

Users of social media sites like Facebook and Twitter rely on crowdsourced content
recommendation systems (for example, Trending Topics) to retrieve important and useful …

We deal with shrinking the stream of tweets for scheduled events in real-time, following two
steps:(i) sub-event detection, which determines if something new has occurred, and (ii) tweet …

Understanding attention dynamics on social media during pandemics could help
governments minimize the effects. We focus on how COVID-19 has influenced the attention …

Background Despite numerous counteracting efforts, antivaccine content linked to delays
and refusals to vaccinate has grown persistently on social media, while only a few …

Twitter trends, a timely updated set of top terms in Twitter, have the ability to affect the public
agenda of the community and have attracted much attention. Unfortunately, in the wrong …