Open AccessSegregation of Live News Articles Based on Location Using Machine Learning
Author(s) -
Heneil Tayade,
Chaitanya Shetty,
Ratika Jankar,
Amol Pande
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206380
Subject(s) - web crawler , naive bayes classifier , random forest , computer science , support vector machine , world wide web , web page , machine learning , artificial intelligence , information retrieval , track (disk drive) , operating system
As we all know web contains an enormous amount of data which is gigantic and it is changing continuously for each minute and we also know during this hectic lifestyle it's very difficult to stay track of each news and article that's occurring. So, people are mostly focused on the news which goes into their nearby environment. During this paper, we consider displaying the news directing on the nearby cities and also displaying the required news articles supported by a few important cities. Here, we've a web crawler which is used to withdraw the content from the HTML pages of the articles. Random forest, Naïve Bayes and SVM classifiers are used to compute the precision and their accuracy is being calculated. Machine Learning is the well- known technique used for this type of news classification and displaying of the news articles