[基于无监督机器学习模型的变应原免疫疗法感受分析]
[Feeling analysis on allergen immunotherapy on using an unsupervised machine learning model].
作者信息
Tarango-García Alejandro, Lugo-Reyes Saul Oswaldo, Alvarez-Cardona Aristoteles
机构信息
Universidad Autónoma de Aguascalientes.
Universidad Autónoma de Aguascalientes, Laboratorio de Inmunodeficiencias, Instituto Nacional de Pediatría, Ciudad de México.
出版信息
Rev Alerg Mex. 2024 Feb 1;71(1):8-11. doi: 10.29262/ram.v71i1.1263.
OBJECTIVE
Analyze feelings about allergen-specific immunotherapy on using the VADER model VADER () model.
METHODS
related to specific allergen immunotherapy were obtained through the Application Programming Interface (API). The keywords "allergy shot" were used between January 1, 2012, and December 31, 2022. The data was processed by removing URLs, usernames, hashtags, multiple spaces, and duplicate . Subsequently, a sentiment analysis was performed using the VADER model.
RESULTS
A total of 34,711 were retrieved, of which 1928 were eliminated. Of the remaining 32,783 32.41% expressed a negative sentiment, 31.11% expressed a neutral sentiment, and 36.47% expressed a positive sentiment, with an average polarity of 0.02751 (neutral) over the 11-year period.
CONCLUSIONS
The average polarity of about allergen-specific immunotherapy is neutral over the 11 years analyzed. There was an annual increase in the average polarity over the years, with 2017, 2018, and 2022 having positive polarity averages. Additionally, the number of decreased over time.
目的
使用VADER模型分析关于变应原特异性免疫疗法的情感倾向。
方法
通过应用程序编程接口（API）获取与特异性变应原免疫疗法相关的内容。在2012年1月1日至2022年12月31日期间使用关键词“过敏针”。通过去除网址、用户名、主题标签、多个空格和重复内容对数据进行处理。随后，使用VADER模型进行情感分析。
结果
共检索到34711条内容，其中1928条被剔除。在其余的32783条内容中，32.41%表达了负面情感，31.11%表达了中性情感，36.47%表达了正面情感，在这11年期间平均极性为0.02751（中性）。
结论
在分析的11年中，关于变应原特异性免疫疗法的内容平均极性为中性。这些年平均极性逐年增加，2017年、2018年和2022年的平均极性为正值。此外，内容数量随时间减少。
Zotero 插件