Blog Response Volume Prediction Using Adaptive Neuro Fuzzy Inference System
Harsurinder Kaur, Husanbir Singh Pannu · 2018
Due to the wide streaming blogs over the social media, blog volume automation has become indispensable for the analysis of blog popularity. As a rule base driven method, Adaptive Neuro Fuzzy Inference System has gained popularity in various prediction tasks for its efficiency and ease of implementation. In this paper, ANFIS model have been explored to predict the volume of blog responses. With the help of this rule based machine learning technique, an accurate non-linear regression model is developed which outperforms other state-of-art techniques such as ANN, SVM and Random Forest using UCI BlogFeedback dataset.