With the development and popularity of Python and AntConc, research on text analysis by employing them has been increasing. However, no scholars combined Python and AntConc to study the pilot free trade zone news corpus from critical discourse analysis. Hence, by the means of Python and AntConc 3.5.8, this study investigated the linguistic features and textual effect of the news on the cultural industry and analyzed the industry features from the perspectives of high-frequency words, high-frequency collocation, background, etc., in the light of Fairclough’s three-dimensional discourse analysis model, using corpus methodology, and collecting news on pilot free trade zones cultural industry in Shanghai, Guangdong, Sichuan, and Shaanxi to build a corpus. It is suggested that the cultural industry in Shaanxi Free Trade Zone can seek internal and external innovation.
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