Open AccessNews Classification Using Machine Learning
Author(s) -
Shweta Mahajan
Publication year - 2021
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v9i5.5464
Subject(s) - automatic summarization , computer science , precision and recall , recall , information retrieval , social media , artificial intelligence , word (group theory) , information extraction , raw data , f1 score , machine learning , natural language processing , world wide web , linguistics , philosophy , programming language
There are plenty of social media webpages and platforms producing the textual data. These different kind of a data needs to be analysed and processed to extract meaningful information from raw data. Classification of text plays a vital role in extraction of useful information along with summarization, text retrieval. In our work we have considered the problem of news classification using machine learning approach. Currently we have a news related dataset which having various types of data like entertainment, education, sports, politics, etc. On this data we have applying classification algorithm with some word vectorizing techniques in order to get best result. The results which we got that have been compared on different parameters like Precision, Recall, F1 Score, accuracy for performance improvement.