Survey of Trending Techniques for Detection of Emerging Topics in Computer Science within Social Media

Abstract

With the advent of Internet there has been a significant and exponential growth in information available to users. The availability of resources like smart mobile phone, low cost data plans and improvement in mobile communication infrastructure has further increased the reach and availability of information. The Internet allowed creation of websites and applications that significantly kept on adding data. The data generated through these websites can be structured (relational database), unstructured (digital images, video, audio files) or semi-structured (word document). The growth of Internet and WWW services gave user a liberty to create his own data, which then can be shared with the world. The development of User-Generated Content (UGC) [2] such as blogs, wikis, forums, tweets, discussions, posts, chats, podcasts, advertisements and other form of media led to the shift of information exchange from media conglomerates to individual user. With this huge amount of data, we address the problem of trending the emerging topics. Identify trending of these emerging topics allows us to know the probable trend of computer science research topics or other relevant research topics in future.