A Preliminary Exploration of Chinese Text Data Preprocessing Using R Studio

This paper presents methodologies for preprocessing Chinese text data using R Studio. It elaborately covers essential preprocessing steps necessary for analyzing and researching Chinese text data, including creating string vectors, loading files, pattern replacement, and removing stopwords. The processes are explained with examples to make them easily understandable and applicable for beginners, thereby enhancing the accuracy and efficiency of Chinese data analysis. Furthermore, it provides a comprehensive comparison of different text normalization techniques, illustrating their impact on the performance of subsequent text analysis tasks.