Performance Evaluation of Text Document Using Machine Learning Models for Information Retrieval

Abstract

Text mining is thought to have a high commercial potential due to the significant amounts of unstructured text data produced on the Internet. The practice of obtaining previously undiscovered, comprehensible, potentially useful patterns or knowledge from a corpus of text data is known as text mining. In this study, we attempt to extract the structured information from the text and then use various machine-learning models to categorize the data. We then look for the model that provides the highest level of classification accuracy.