Cancer-related Keywords in 2023: Insights from Text Mining of a Major Consumer Portal
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Objectives: With the growing importance of monitoring cancer patients’ internet usage, there is an increasing need for technologythat expands access to relevant information through text mining. This study analyzed internet articles from portalsites in 2023 to identify trends in the information available to cancer patients and to derive meaningful insights. Methods:This study analyzed 19,578 news articles published on Naver, a major Korean portal site, from January 1, 2023, to December31, 2023. Natural language processing, text mining, network analysis, and word cloud analysis were employed. The searchterm “am” (Korean for “cancer”) was used to identify keywords related to cancer. Results: In 2023, an average of 1,631cancer-related articles were published monthly, with a peak of 1,946 in September and a low of 1,371 in February. A total of132,456 keywords were extracted, with “cure” (2,218 occurrences), “lung cancer” (1,652), and “breast cancer” (1,235) beingthe most frequent. Term frequency-inverse document frequency analysis ranked “struggle” (1064.172) as the most significantkeyword, followed by “lung cancer” (839.988) and “breast cancer” (744.840). Network analysis revealed four distinct clustersfocusing on treatment, celebrity-related issues, major cancer types, and cancer-causing factors. Conclusions: The analysis ofcancer-related keywords in 2023 indicates that news articles often prioritize gossip over essential information. These findingsprovide foundational data for future policy directions and strategies to address misinformation. This study underscores theimportance of understanding the nature of cancer-related information consumed by the public and offers insights to guideofficial policies and healthcare practices.
Abstract
Objectives: With the growing importance of monitoring cancer patients’ internet usage, there is an increasing need for technologythat expands access to relevant information through text mining. This study analyzed internet articles from portalsites in 2023 to identify trends in the information available to cancer patients and to derive meaningful insights. Methods:This study analyzed 19,578 news articles published on Naver, a major Korean portal site, from January 1, 2023, to December31, 2023. Natural language processing, text mining, network analysis, and word cloud analysis were employed. The searchterm “am” (Korean for “cancer”) was used to identify keywords related to cancer. Results: In 2023, an average of 1,631cancer-related articles were published monthly, with a peak of 1,946 in September and a low of 1,371 in February. A total of132,456 keywords were extracted, with “cure” (2,218 occurrences), “lung cancer” (1,652), and “breast cancer” (1,235) beingthe most frequent. Term frequency-inverse document frequency analysis ranked “struggle” (1064.172) as the most significantkeyword, followed by “lung cancer” (839.988) and “breast cancer” (744.840). Network analysis revealed four distinct clustersfocusing on treatment, celebrity-related issues, major cancer types, and cancer-causing factors. Conclusions: The analysis ofcancer-related keywords in 2023 indicates that news articles often prioritize gossip over essential information. These findingsprovide foundational data for future policy directions and strategies to address misinformation. This study underscores theimportance of understanding the nature of cancer-related information consumed by the public and offers insights to guideofficial policies and healthcare practices.
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