Axiomatic Analysis of Pre‐Processing Methodologies Using Machine Learning in Text Mining
Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Nikolai Siniak · 2023
Despite of the behemoth utilization of social media platforms for various aspects, which provides opportunities to analyze and study the social behavior of users, text mining's role has been not explored fully. For this, text mining is the way to discover interesting patterns in data. The motive of text mining is to utilize discovered patterns to elucidate contemporary behavior or to predict future outcomes. Multiple disciplines participate in crawling text to discover required textual patterns such as mathematical modeling, computer science, data mining and warehousing to name a few. For this purpose, embeddings are also playing a key role and under the umbrella of machine learning, IoT (Internet of things) are coping up flawlessly at an individual level to predict the behavior in terms of security privacy, analysis, and prediction. Through this chapter, explaining the role of such strategies in social media text analysis for finding knowledgeable patterns. To illustrate and deliberate the areas of social media which are reachable on an amazing variety in the field of text mining using IoT-enabled services in terms of machine learning are also described. Outcomes can provide as a baseline for future of IoT research based on machine learning in emerging applications.