szövegklasszifikációhoz
Szövegklasszifikáció, often translated as text classification or text categorization, is a fundamental task in natural language processing (NLP) that involves assigning predefined labels or categories to text documents. This process aims to organize, structure, and retrieve information from large volumes of textual data efficiently. The categories can be broad, such as "sports" or "politics," or more granular, depending on the specific application.
The core principle behind text classification is to identify patterns and features within the text that are
Once trained, the classification model can then be used to predict the category of new, unseen text