This paper is published in Volume-6, Issue-6, 2020
Area
Computer Science
Author
Abhishek Dutt, Kirk Smalley
Org/Univ
University of Massachusetts, Amherst, India
Pub. Date
12 December, 2020
Paper ID
V6I6-1206
Publisher
Keywords
Text rank, Text Summarization, BBC, BBC News, Text Classification, Machine Learning, Naive Bayes, Logistic Regression, SVM, Random Forest Classifier, Page rank,

Citationsacebook

IEEE
Abhishek Dutt, Kirk Smalley. Text classification of BBC news articles and text summarization using text rank, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Abhishek Dutt, Kirk Smalley (2020). Text classification of BBC news articles and text summarization using text rank. International Journal of Advance Research, Ideas and Innovations in Technology, 6(6) www.IJARIIT.com.

MLA
Abhishek Dutt, Kirk Smalley. "Text classification of BBC news articles and text summarization using text rank." International Journal of Advance Research, Ideas and Innovations in Technology 6.6 (2020). www.IJARIIT.com.

Abstract

Automatic text classification is a crucial method to manage and process vast amounts of textual data in the digital form. This paper illustrates the text classification and text summarization using machine learning techniques and algorithms. An important part of this task is that the input data is in the form of natural language so we must do some preliminary analysis to transform the documents into a uniform structure so that we can train our data using numerical representations. Text Summarization is the process of obtaining the significant information from a text document. Information is extracted from the text document and the summarized report is created and displayed to the user.
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