Design of an Intelligent English Writing Assistant System Based on Text Mining Technology

Proficient English writing skills are indispensable for effective communication and academic or professional success. However, many individuals struggle to refine their writing abilities due to various challenges. To address this need, an intelligent English writing assistant system based on text-mining technology was constructed in this study. This system leverages advanced text mining techniques to analyze, assess, and enhance written content, providing users with personalized guidance and support. Key technologies and principles related to this system include text mining methodologies such as tokenization, TF -IDF analysis, and named entity recognition, as well as web crawling technology for dynamic content acquisition. The system's architecture encompasses requirements analysis, system design, database architecture, and implementation of backend modules. The functionality is secured through the integration of web crawling mechanisms, including spider integration, to retrieve relevant textual resources from online sources. Additionally, an exercise recommendation module enhances user engagement and skill development. Through the seamless integration of these technologies, the intelligent English writing assistant system empowers users to communicate confidently and effectively in English.