Alejandro Tarango-García, Saul Oswaldo Lugo-Reyes, Aristoteles Alvarez-Cardona
{"title":"[使用无监督机器学习模型对 Twitter 上的过敏原免疫疗法进行感受分析]。","authors":"Alejandro Tarango-García, Saul Oswaldo Lugo-Reyes, Aristoteles Alvarez-Cardona","doi":"10.29262/ram.v71i1.1263","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Analyze feelings about allergen-specific immunotherapy on <i>Twitter</i> using the VADER model VADER (<i>Valence Aware Dictionary and sEntiment Reasoner</i>) model.</p><p><strong>Methods: </strong><i>tweets</i> related to specific allergen immunotherapy were obtained through the <i>Twitter</i> 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 <i>tweets</i>. Subsequently, a sentiment analysis was performed using the VADER model.</p><p><strong>Results: </strong>A total of 34,711 <i>tweets</i> were retrieved, of which 1928 were eliminated. Of the remaining 32,783 <i>tweets,</i> 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.</p><p><strong>Conclusions: </strong>The average polarity of <i>tweets</i> 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 <i>tweets</i> decreased over time.</p>","PeriodicalId":101421,"journal":{"name":"Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)","volume":"71 1","pages":"8-11"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Feeling analysis on allergen immunotherapy on <i>Twitter</i> using an unsupervised machine learning model].\",\"authors\":\"Alejandro Tarango-García, Saul Oswaldo Lugo-Reyes, Aristoteles Alvarez-Cardona\",\"doi\":\"10.29262/ram.v71i1.1263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Analyze feelings about allergen-specific immunotherapy on <i>Twitter</i> using the VADER model VADER (<i>Valence Aware Dictionary and sEntiment Reasoner</i>) model.</p><p><strong>Methods: </strong><i>tweets</i> related to specific allergen immunotherapy were obtained through the <i>Twitter</i> 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 <i>tweets</i>. Subsequently, a sentiment analysis was performed using the VADER model.</p><p><strong>Results: </strong>A total of 34,711 <i>tweets</i> were retrieved, of which 1928 were eliminated. Of the remaining 32,783 <i>tweets,</i> 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.</p><p><strong>Conclusions: </strong>The average polarity of <i>tweets</i> 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 <i>tweets</i> decreased over time.</p>\",\"PeriodicalId\":101421,\"journal\":{\"name\":\"Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)\",\"volume\":\"71 1\",\"pages\":\"8-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29262/ram.v71i1.1263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29262/ram.v71i1.1263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Feeling analysis on allergen immunotherapy on Twitter using an unsupervised machine learning model].
Objective: Analyze feelings about allergen-specific immunotherapy on Twitter using the VADER model VADER (Valence Aware Dictionary and sEntiment Reasoner) model.
Methods: tweets related to specific allergen immunotherapy were obtained through the Twitter 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 tweets. Subsequently, a sentiment analysis was performed using the VADER model.
Results: A total of 34,711 tweets were retrieved, of which 1928 were eliminated. Of the remaining 32,783 tweets, 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 tweets 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 tweets decreased over time.
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