Abstract: Most text classification models based on traditional machine learning algorithms have problems such as curse of dimensionality and poor performance. In order to solve the above problems, ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Introduced in Ein-dor et al. (2020), this is a framework for experimenting with text classification tasks. The focus is on low-resource scenarios, and examining how active learning (AL) can be used in ...

Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning. Python library ...

There should only be one — and preferably only one — obvious way to do it”, says the Zen of Python. Yet there are areas where even seasoned programmers debate what the right or wrong way to do things ...

ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...