One survey found 80% of calculus students admitting they took AP Calculus because it “looks good on college applications.” What’s true of calculus is also true of trigonometry and, to a lesser extent, ...

The proposed algorithm first preprocesses news texts through tokenization, stop-word removal, and low-frequency word filtering to optimize text representation. Subsequently, the BiGRU model is ...

The proposed algorithm first preprocesses news texts through tokenization, stop-word removal, and low-frequency word filtering to optimize text representation. Subsequently, the BiGRU model is ...

1 Introduction Text classification is one of the fundamental tasks in Natural Language Processing (NLP) with broad applications such as sentiment analysis and topic labeling, among many others ...

Text classification is an important step in many data analysis procedures. The demand on text classification algorithm is booming due to the increase of the amount of digital data, especially in the ...

Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories ...

Text classification is one of those terms that is applied to many different tasks and algorithms, so it's useful to make sure that we understand the basic concept of text classification before moving ...