Mobile Social Media Mining Challenges Overview: A Case Study of WeChat

Data mining is likely to be considered a much valuable tool especially when applied to social media. Social media mining is the process of representing, analyzing and extracting useful patterns from data in social media, resulting from social interactions. Since its release in 2011 WeChat quickly became the most fast-growing networking mobile app in China. People of similar interests and backgrounds meet and cooperate using this social network, enabling them to share information flexibly and globally. Today just like Facebook and Twitter, WeChat contains millions of unprocessed raw data. The mined information from this mobile social media can considerably impact business strategy of any business enterprise. However, for the general public, mining WeChat unlike Facebook and Twitter remains a very complex task. This paper identifies and analyzes some challenges engineers and researchers may face if they want to mine this rich user-generated contains from WeChat database.