期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：1387-1391
DOI：10.35629/5252-030611741178
语种：English
出版社：IJAEM JOURNAL
摘要：Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. For the last few years, text mining has been gaining significant importance. Since Knowledge is now available to users through variety of sources e.g. electronic media, digital media, print media, and many more. Due to becoming a very hot research area, a lot of unstructured data has been recorded by research experts and have found numerous ways in literature to convert this scattered text into defined structured volume, commonly known as text classification. Focuses on full text classification e.g. full news, huge documents, long length texts etc. is more prominent as compared to the short length text. We have discussed text classification process, classifiers, and numerous feature extraction methodologies but all in context of texts e.g. news classification based on their headlines. Existing classifiers and their working methodologies are being compared and results are presented effectively. We also discuss related research areas, open problems, and future research directions for news article classification.
