Social media mining
In simple terms, social media mining is a systematic analysis of information generated from social media. It becomes necessary to tap into this enormous social media data with the help of today's technology, which is not without its challenges. Data stream is a prime example of Big Data. Dealing with data sets measured in petabytes is challenging, and things like signal-to-noise ratio need to be taken into consideration. It is estimated that around 20 percent of such social media data streams contain relevant information.
The set of tools and techniques, which are used to mine such information, are collectively called Data mining technique and in the context of social media it's called social media mining (SMM). SMM can generate insights about how much someone is influencing others on the Web. SMM can help businesses identify the pain points of its customer in real time. In turn, this can be used for proactive planning. Identification of potential customers is a very important problem every business has been trying to solve for ages. SMMs can help us identify the potential customers based on their online activities and based on their friend's online activities. There has been a lot of research in multiple disciplines of social media:
- Why does social media mining matter?
- If you can measure it, you can improve it
- Modeling behavior
- Predictive analysis
- Recommending content
