Text classification and its application based on natural language processing and machine learning

• Published in: AIP conference proceedings Vol. 3131; no. 1
• Main Authors: Jin, Haichao, Zhang, Lin
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 19.09.2024
• Subjects: Artificial intelligence; Classification; Information retrieval; Machine learning; Natural language processing
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0230295

Text classification is a common way of working in computer applications, in daily work, the accurate and efficient classification of diverse categories of texts is a work problem that some relevant staff are concerned and concerned about. With the continuous development and advancement of information technology, different artificial intelligence technologies such as natural language processing and machine learning can be applied to text classification and play an important role. However, its operation process is often very demanding on the staff and can have many different problems. Therefore, this article will carry out specific research on this to understand their text classification processing and application. The results show that through the research and application of text classification technology, the efficiency and accuracy of text processing can be effectively improved and provide strong support for information retrieval and decision-making.