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          <dc:title>&lt;p&gt;Word cloud of high-frequency keywords in Zhangjiajie tourist reviews.&lt;/p&gt;</dc:title>
          <dc:creator>Cheng-Ru Wu (10933241)</dc:creator>
          <dc:creator>Ming-Han Chiang (444992)</dc:creator>
          <dc:creator>Bao-Hui Huang (25157701)</dc:creator>
          <dc:creator>Hung-Lung Lin (457859)</dc:creator>
          <dc:creator>Yanran Huang (5578370)</dc:creator>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>ugc ), yet</dc:subject>
          <dc:subject>temporal regulation ),</dc:subject>
          <dc:subject>hierarchical relationships within</dc:subject>
          <dc:subject>vegetation landscapes ),</dc:subject>
          <dc:subject>tourists &amp;# 8217</dc:subject>
          <dc:subject>extract emotional themes</dc:subject>
          <dc:subject>contextual conditioning layer</dc:subject>
          <dc:subject>tourism emotion analysis</dc:subject>
          <dc:subject>oriented destination management</dc:subject>
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          <dc:subject>emotional experience formation</dc:subject>
          <dc:subject>emotional experience</dc:subject>
          <dc:subject>online tourists</dc:subject>
          <dc:subject>management systems</dc:subject>
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          <dc:subject>emotional responses</dc:subject>
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          <dc:subject>zhangjiajie based</dc:subject>
          <dc:subject>visitor activities</dc:subject>
          <dc:subject>transformation process</dc:subject>
          <dc:subject>text mining</dc:subject>
          <dc:subject>systemically constructed</dc:subject>
          <dc:subject>study provides</dc:subject>
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          <dc:subject>results reveal</dc:subject>
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          <dc:subject>impressions ).</dc:subject>
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          <dc:subject>findings demonstrate</dc:subject>
          <dc:subject>environmental stimuli</dc:subject>
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          <dc:description>&lt;p&gt;The visualization is generated from 8,592 user-generated reviews using Python-based text mining and word cloud analysis.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T17:28:20Z</dc:date>
          <dc:type>Image</dc:type>
          <dc:type>Figure</dc:type>
          <dc:identifier>10.1371/journal.pone.0355471.g002</dc:identifier>
          <dc:relation>https://figshare.com/articles/figure/_p_Word_cloud_of_high-frequency_keywords_in_Zhangjiajie_tourist_reviews_p_/34047916</dc:relation>
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