Multilingual text classification

Multilingual text classification refers to the process of automatically categorizing textual data in multiple languages using natural language processing techniques. Its aim is to identify text features across different languages through model training, enabling efficient and accurate cross-lingual information organization and management. This technology holds significant application value in international information retrieval, sentiment analysis, content filtering, and other fields, capable of notably enhancing data processing capabilities and user experience in multilingual settings.