A Review on Text Classification Based on CNN

Abstract

Text can be an incredibly rich source of information, but extracting information from it can be difficult and time-consuming due to its unstructured nature. However, thanks to advances in natural language processing and machine learning, both of which are under the broad umbrella of artificial intelligence, it is getting easier and easier to organize textual data. It works by automating and structuring documents quickly and cost-effectively, so businesses can automate processes and uncover insights that help make good decisions. than. Instead of relying on manually generated rules, text classification using machine learning learns to perform classification based on past observations. By using pre-tagged examples as training data, machine learning algorithms can learn different associations between text fragments.