Social Media Analysis: A Tool for Popularity Prediction Using Machine Learning Classifiers

The main aim of our paper is to predict the popularity of a person using ML classifiers. We will be able to predict whether the person is popular or not by analyzing the comments about that person from his/her social media platform, such as Twitter. The task is performed out of NLTK (Natural Language Toolkit) library, Python using pandas function, NumPy, and some concepts of machine learning. The analytics was done using NLP (natural language processing) as the predictions become easier with the help of it. The methodology proposed by us is to initially clean the data, using data mining approach, take out the useful information, and make the dataset ready. After which, the prepared dataset will be fed into the classifier, and we’ll fit the classifier accordingly. Now, the cleaned testing data will be used to get the desired outcome.