Data Analysis Of Hashtag Mining : A Survey

Abstract

Social media platforms rapid growth has enhanced its significance and usage. Social media platforms are powerful communication and records sharing gear which are used by many human beings ensuing in manufacturing of heaps and hundreds of random records. With this sort of speedy increase of data each day, IT communities have always tailored new ways to absorb this random data, finding patterns to provide higher conversation capabilities in the social media. The technology behind locating styles among random information is data mining and text mining is one of the branches implemented in those social media structures enhancing pleasant of usage of those platforms making them play a distinguished position in an average person’s lifestyles. One such data mining approach is Hashtag. Hashtag is a social media term used on various social media systems with posts with the aid of the users themselves. It is used with the (#) sign following by keywords with no spaces, e.g. #helloworld in various social media platforms such as Twitter, Instagram, Facebook, etc. Moreover, Hashtag is a data collecting tool which is analyzed to create AI models, Neuron network models and numerous different data mining strategies that's similarly applied in exceptional fields as a powerful business device for different businesses, establishments and social media platforms. In this paper, we are briefly discussing about origin of hashtag, its growth throughout the years, its usage over different social media platforms and its applications as data mining models and in real life.