Because of everyone's involvement in social networks, social networks are full of massive
multimedia data, and events are got released and disseminated through social networks in …

Social media has become a part of our day-to-day life and has become one of the significant
sources of information. Most of the information available on social media is in the form of …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …

The growing use of microblogging platforms is generating a huge amount of posts that need
effective methods to be classified and searched. In Twitter and other social media platforms …

In this paper, we will propose a novel approach based on graph analysis which will use
community structure detection algorithm to detect topics in the keywords graph of micro …

It is key to identify both sentiment and topic for well understanding and managing social
media data such as online reviews and microblogs. This paper studies a robust and reliable …

Due to the pervasive nature of social networking platforms, as well as the proliferation of
user generated content, the internet has become a repository of unstructured multimedia …

As social media platforms grow rapidly, multi-modal data is becoming more and more
prevalent. A user can better understand events by analyzing multimodal data for topics …

Developing technologies and new social media platforms (Facebook, YouTube, Flickr, and
Twitter) are transforming how people communicate with each other and scrutinize …