查看文章

Technological furtherance has enabled the attainability of enormous digitized texts. However vast unorganized text is futile. Text classification in this regard can generate momentary solutions in terms of knowledge mining in texts. Though the improvement in NLP has advocated these categorizing tasks in recent times, their availability in Bangla text is a concern. Bangla is a globally spoken language and that hints at the extraneous availability of texts that are being used over various sectors. TF-IDF has shown preeminent feature maps calculation in terms of texts as the expression of the significance of words in a corpus. Again supervised machine learning algorithms have done wonders in terms of text classification. Keeping that in mind, an empirical study to categorize Bangla news articles using the TF-IDF features with the assistance of machine learning algorithms namely SVM, LR (Logistic Regression), DT …