This paper aims to provide a way of extractively summarizing a given text as well as an accurate classifier to classify the given text into various predefined categories. Text preprocessing is a vital stage in text summarization and text classification particularly and text mining generally. Preprocessing techniques provide a lot of significance and are widely studied in machine learning. The impact of the pre-processing tools on English text classification is an area of research in itself. Data preparation is an important phase before applying any machine learning algorithms. They have a great impact on reducing the time requirements and speed resources needed for the particular process. This text data preprocessing is followed by conversion of a bag of words into a term vector model and also the various Machine Learning algorithms which can be applied in order to generate a category. The different stages and techniques involved in Text Summarizer and Text Classifier are discussed pretty much in detail in this paper.



Software And Hardware