An Optimized Predictive Model for Prospective Blogging Using Machine Learning
Lokesh Pawar · 2022 IEEE International Conference on Data Science and Information System (ICDSIS) · 2022
Blogs are normally run by a single or a small group of people to present information in a casual or formal style. Blogs have now become the worldwide mass media in which anyone can share their information, ideas and knowledge. The main purpose of blog writing is to connect the blogger to the readers. In this paper, we are designing the predictive optimized model for prospective instances of blogging by using various machine learning algorithms. Computational intelligence techniques Eager learning method and Lazy learning have been used for prospective blogging. For balancing the dataset, we have used the Resampling Technique where we are resampling the data until it gets balanced. Through the ensembling technique, the final result of the optimized predictive algorithm shows that we have achieved better results than other machine learning models.