WEKO3
アイテム
Comparison of impressions of COVID-19 vaccination and influenza vaccination in Japan by analyzing social media using text mining
https://kagawa-u.repo.nii.ac.jp/records/2000377
https://kagawa-u.repo.nii.ac.jp/records/2000377e59ce3cc-3305-450d-ba06-06b4c7510fe3
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (629 KB)
|
.png)
|
|
|
内容の要旨 (103 KB)
|
|
|
|
審査の結果の要旨 (70 KB)
|
|
| Item type | 学位論文 / Thesis or Dissertation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2024-04-11 | |||||
| タイトル | ||||||
| タイトル | Comparison of impressions of COVID-19 vaccination and influenza vaccination in Japan by analyzing social media using text mining | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||
| 資源タイプ | doctoral thesis | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 著者 |
森, 喜郎
× 森, 喜郎 |
|||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The aim of this study was to compare impressions of COVID-19 vaccination and influenza vaccination in Japan by analyzing social media (Twitter®) using a text-mining method. We obtained 10,000 tweets using the keywords “corona vaccine” and “influenza vaccine” on 15 December 2022 and 19 February 2023. We then counted the number of times the words were used and listed frequency of these words by a text-mining method called KH Coder. We also investigated concepts in the data using groups of words that often appeared together or groups of documents that contained the same words using multi-dimensional scaling (MDS). “Death” in relation to corona vaccine and “severe disease” for influenza vaccine were frequently used on 15 December 2022. The number of times the word “death” was used decreased, “after effect” was newly recognized for corona vaccine, and “severe disease” was not used in relation to influenza vaccine. Through this comprehensive analysis of social media data, we observed distinct variations in public perceptions of corona vaccination and influenza vaccination in Japan. These findings provide valuable insights for public health authorities and policymakers to better understand public sentiment and tailor their communication strategies accordingly. | |||||
| 言語 | en | |||||
| 学位名 | ||||||
| 言語 | ja | |||||
| 学位名 | 博士（医学） | |||||
| 学位授与機関 | ||||||
| 学位授与機関識別子Scheme | kakenhi | |||||
| 学位授与機関識別子 | 16201 | |||||
| 言語 | ja | |||||
| 学位授与機関名 | 香川大学 | |||||
| 言語 | en | |||||
| 学位授与機関名 | Kagawa University | |||||
| 学位授与年月日 | ||||||
| 学位授与年月日 | 2024-03-24 | |||||
| 学位授与番号 | ||||||
| 学位授与番号 | 甲第856号 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報Resource | http://creativecommons.org/licenses/by/4.0/ | |||||
| 権利情報 | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 37631895 | |||||
| 関連サイト | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.3390/vaccines11081327 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | P | |||||
| 出版タイプResource | http://purl.org/coar/version/c_fa2ee174bc00049f | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | ||||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | social media | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | text mining | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | COVID-19 | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | influenza | |||||
