Text Categorization and Summarization

Abstract

This study mainly aims on automatic text categorization and summarization. We have discussed a categorization and summarization method using machine learning techniques. Other researchers have suggested a wide variety of text categorization and summarization methods. Our paper focuses on abstractive summarization built using T5 language model. The categorization model uses logistic regression and support vector classifier algorithm. The paper emphasizes whole process of building a machine learning application from collecting datasets to simulating it on a web application. We have presented a demo sample of implementing the categorization and summarization models in a unique way separating raw and docs text from webpage text and discussed the detailed workflow. We have also discussed the process of building machine learning or deep learning models using the key technology of natural language processing. The evaluation techniques and demo working of model is also discussed.