CFP last date
21 October 2024
Reseach Article

Multi-Perspective Analysis of News Articles using Machine Learning Algorithms

by Vaibhav Khatavkar, Makarand Velankar, Parag Kulkarni and
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 42
Year of Publication: 2019
Authors: Vaibhav Khatavkar, Makarand Velankar, Parag Kulkarni and
10.5120/ijca2019918503

Vaibhav Khatavkar, Makarand Velankar, Parag Kulkarni and . Multi-Perspective Analysis of News Articles using Machine Learning Algorithms. International Journal of Computer Applications. 181, 42 ( Feb 2019), 22-26. DOI=10.5120/ijca2019918503

@article{ 10.5120/ijca2019918503,
author = { Vaibhav Khatavkar, Makarand Velankar, Parag Kulkarni and },
title = { Multi-Perspective Analysis of News Articles using Machine Learning Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2019 },
volume = { 181 },
number = { 42 },
month = { Feb },
year = { 2019 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number42/30344-2019918503/ },
doi = { 10.5120/ijca2019918503 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:52.841622+05:30
%A Vaibhav Khatavkar
%A Makarand Velankar
%A Parag Kulkarni and
%T Multi-Perspective Analysis of News Articles using Machine Learning Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 42
%P 22-26
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, many machine learning algorithms are evolving. It is a very difficult task to select a particular algorithm for a specific problem. A multi-perspective analysis of the given input data has to be performed to select a particular algorithm. In this study a case study has been taken for selecting an algorithm for the classification of news articles. Multi-perspective analysis is performed on the data using various machine learning algorithms namely Random Forest Classifier, Decision tree, AdaBoostClassifier, SVM with Linear SVC and SVM with NuSVC. For the multi perspective analysis, features from the dataset are extracted and standard metrics are used. The metrics used are Kappa, Accuracy, F-measure, Recall, and Precision. For the BBC news standard dataset, SVM Linear SVC proves to be effective because its classification rate is 96% and false positive rate is 0.75%.

References
  1. Habil Damania, Aditya Jagtap, Abhishek Jain, Chaitanya Chavan and Shraddha Khonde.(2018) “ MAIDEn: A Machine Learning Approach for Intrusion Detection using Ensemble Technique”. International Journal of Computer Applications 179(13):34-36, January 2018
  2. Muhammad Asim Zafar Khan, (2018) ,”Mobile Price Class prediction using Machine Learning Techniques”, International Journal of Computer Applications 179(29):6-11, March 2018.
  3. Makarand Velankar, Parag Kulkarni, (2018) “Soft computing for music analytics”,International Journal of Engineering Applied Sciences and Technology Vol 3, issue 2.
  4. Top 10 Machine Learning Algorithms (Latest Update made on May 11, 2018) :https://www.dezyre.com/article/top-10-machine-learning-algorithms/202
  5. Top 5 classifiers (Last access on 1 November 2018):
  6. https://stats.stackexchange.com/questions/7610/top-five-classifiers-to-try-first
  7. Francisco Pereira, Tom Mitchell, Matthew Botvinick, “Machine learning classifiers and fMRI:
  8. A tutorial overview”, NeuroImageVolume 45, Issue 1, Supplement 1, March 2009, Pages S199-S209, :https://doi.org/10.1016/j.neuroimage.2008.11.007
  9. Khatavkar V., Kulkarni P. (2019), “Trends in Document Analysis”. In: Balas V., Sharma N., Chakrabarti A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 808. Springer, Singapore.
  10. Khatavkar V., Kulkarni P. (2019), “Comparison of Support Vector Machines with and Without Latent Semantic Analysis for Document Classification”. In: Balas V., Sharma N., Chakrabarti A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 808. Springer, Singapore.
  11. SKlearnToolkit :http://scikit-learn.org/stable/
  12. BBC News Dataset : http://mlg.ucd.ie/datasets/bbc.html.
  13. Lilima Pradhan, Neha Ayushi Taneja, Charu Dixit ,Monika Suhag, (2017) “ Comparison of Text Classifiers on News Articles”, International Research Journal of Engineering and Technology, Volume: 04 Issue: 03 , March 2017.
Index Terms

Computer Science
Information Sciences

Keywords

Machine Learning Multi Perspective analysis Classification Document Analysis