Contemporary Emerging Trends of Text Mining Techniques used in Social Media Websites: In-Depth Analysis

Abstract

The emerging trends in social media have given a new path for information sharing for all types of internet users and online business operators. The contemporary emerging trends have been used in different forms to draw widespread attention from internet users. Different forms have been identified and inserting the data by different aspirants to attain their goals and aim to convey the information to the targeted audience. A huge amount of data is available in social media in different formats. The data analysis is mandatory to find the authenticity of the data and remove the spam data. Text mining methods have been introduced to analyze and summarize the data from numerous social media websites with distinct variables with open-source tools. The present paper is focusing on the emerging trends in social media text mining methodologies to extract the desirable data from the pool of social media text information associated with spam. This paper is rich in exploring different text mining applications, trend prediction in association with the social interaction theories. In this paper, Facebook, Twitter, Bloggers, and other predominant social media sites have been taken into consideration for extracting the experimental results.