Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers.
Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers.
复制标题
使用人工智能开发一种基于词典的非裔美国推文检测算法，以为基于文化敏感的Twitter社会支持干预措施提供给非裔美国痴呆症护理人员的社会支持干预措施。
DOI：
10.3233/shti210844
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发表时间：
2022-01-14
影响因子：
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通讯作者：
Yoon S
中科院分区：
文献类型：
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作者：
Broadwell P;Davis N;Yoon S
我们使用Twitter API从2019年9月1日至2019年12月31日提取了3，291，101条使用与非裔美国人相关话语（#BlackTwitter，#BlackLivesMatter，#StayWoke）相关的主题标签的推文和1，382，441条来自控制集（一般或无主题标签）的推文。我们还通过ProQuest TDM Studio使用基于云的机器学习平台（Amazon SageMaker）提取了一个文学历史语料库，其中包含非裔美国人作家的14，692首诗歌和散文作品以及其他人创作的66，083个条目作为对照，包括诗歌，戏剧，短篇小说，小说和散文。最后，我们结合了对数似然和Fisher精确检验的统计数据，以及批量训练的朴素贝叶斯分类器的特征分析，以选择与目标或对照文本最密切相关的术语词典。由此产生的推文衍生的非裔美国人词汇包含1，734个一元词，而对照包含2，266个一元词。这个基于词典的非裔美国人推文检测算法的初始版本使用推文文本开发将是有用的，为非裔美国人痴呆症护理人员提供文化敏感的基于Twitter的社会支持干预措施。
We extracted 3,291,101 Tweets using hashtags associated with African American-related discourse (#BlackTwitter, #BlackLivesMatter, #StayWoke) and 1,382,441 Tweets from a control set (general or no hashtags) from September 1, 2019 to December 31, 2019 using the Twitter API. We also extracted a literary historical corpus of 14,692 poems and prose writings by African American authors and 66,083 items authored by others as a control, including poems, plays, short stories, novels and essays, using a cloud-based machine learning platform (Amazon SageMaker) via ProQuest TDM Studio. Lastly, we combined statistics from log likelihood and Fisher’s exact tests as well as feature analysis of a batch-trained Naive Bayes classifier to select lexicons of terms most strongly associated with the target or control texts. The resulting Tweet-derived African American lexicon contains 1,734 unigrams, while the control contains 2,266 unigrams. This initial version of a lexicon-based African American Tweet detection algorithm developed using Tweet texts will be useful to inform culturally sensitive Twitter-based social support interventions for African American dementia caregivers.