In this paper, the goal of text mining is to extract meaningful and valuable content from massive text. Text mining is different from traditional data mining. Traditional data mining is usually processed with structured data, while text mining is usually unstructured, these text data can not be directly recognized by computers, and need to be transformed into structured data with the help of text extraction theory and technology, we need to do chinese word segmentation, remove stop words, word frequency statistics, and so on, and then extract useful information by data extraction and statistical analysis.

Xiaoxia Wu. VR-Based Interactive System for Simulating Psychological Stress Relief in Deep Learning. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 2: 67-71. https://doi.org/10.25236/AJCIS.2024.070209.

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