ABSTRACT
In this section, we analyze the state-of-the-art techniques and algorithms that extract dynamically the emerging trends in social media streaming.
One of the most common challenges in social media is to discover subtle trending topics in a constantly changing environment. Due to the dynamic nature of social media content, emerging trends constantly change over time. Therefore, temporal information plays a crucial role in emerging trend detection algorithms. Moreover, the enormous volumes of information shared online makes discovering subtle topics very challenging. The target is a strategy that filters useless information that does not lead to meaningful topics (for example, in text, the articles, pronouns, etc.), as well as a strategy that assembles common information into groups leading to generation of topics.
