Processing Data To Improve Machine Learning Models Accuracy

Let's assume we want to forecast a variable e.g. Number Of Tweets and it is dependent on following two variables: Most Active Current News Type and Number Of Active Users. In this instance, Most Active Current News Type is a categorical feature. It can contain textual data such "Fashion", "Economical" etc. Additionally, Number Of Active Users contains numerical fields. Scenario: Before we feed the data set into our machine learning model, we need to transform categorical values into numerical values because many models do not work with textual values.