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选择性5-羟色胺再摄取抑制剂和5-羟色胺-去甲肾上腺素再摄取抑制剂在线评论的情感分析

Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin-Norepinephrine Reuptake Inhibitors.

作者信息

Compagner Chad, Lester Corey, Dorsch Michael

机构信息

College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Pharmacy (Basel). 2021 Jan 23;9(1):27. doi: 10.3390/pharmacy9010027.

DOI:10.3390/pharmacy9010027
PMID:33498697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7924400/
Abstract

BACKGROUND

Depression affects millions worldwide, with drug therapy being the mainstay treatment. A variety of factors, including personal reviews, are involved in the success or failure of medication therapy. This study looked to characterize the sentiment of online medication reviews of Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin-Norepinephrine Reuptake Inhibitor (SNRIs) used to treat depression.

METHODS

The publicly available data source used was the Drug Review Dataset from the University of California Irvine Machine Learning Repository. The dataset contained the following variables: ID, drug name, condition, review, rating, date, and usefulness count. This study utilized a sentiment analysis of free-text, online reviews via the sentimentr package. A Mann-Whitney U test was used for comparisons.

RESULTS

The average sentiment was higher in SSRIs compared to SNRIs (0.065 vs. 0.005, < 0.001). The average sentiment was also found to be higher in high-rated reviews than in low-rated reviews (0.169 vs. -0.367, < 0.001). Ratings were similar in the high-rated SSRI group and high-rated SNRI group (9.19 vs. 9.19).

CONCLUSIONS

This study supports the use of sentiment analysis using the AFINN lexicon, as the lexicon showed a difference in sentiment between high-rated reviews from low-rated reviews. This study also found that SNRIs have more negative sentiment and lower-rated reviews than SSRIs.

摘要

背景

抑郁症影响着全球数百万人,药物治疗是主要的治疗方法。药物治疗的成败涉及多种因素,包括个人评价。本研究旨在描述用于治疗抑郁症的选择性5-羟色胺再摄取抑制剂(SSRI)和5-羟色胺-去甲肾上腺素再摄取抑制剂(SNRI)在线药物评价的情感倾向。

方法

使用的公开数据源是加利福尼亚大学欧文分校机器学习库中的药物评价数据集。该数据集包含以下变量:ID、药物名称、病症、评价、评分、日期和有用性计数。本研究通过sentimentr包对自由文本在线评价进行情感分析。采用曼-惠特尼U检验进行比较。

结果

与SNRI相比,SSRI的平均情感倾向更高(0.065对0.005,<0.001)。还发现高评分评价的平均情感倾向高于低评分评价(0.169对-0.367,<0.001)。高评分SSRI组和高评分SNRI组的评分相似(9.19对9.19)。

结论

本研究支持使用基于AFINN词典的情感分析,因为该词典显示了高评分评价和低评分评价之间的情感差异。本研究还发现,与SSRI相比,SNRI的负面情感倾向更多,评价评分更低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/93c366119a3f/pharmacy-09-00027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/065f621a69fb/pharmacy-09-00027-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/fddb117b4885/pharmacy-09-00027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/12cdcd6e80e8/pharmacy-09-00027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/93c366119a3f/pharmacy-09-00027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/065f621a69fb/pharmacy-09-00027-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/fddb117b4885/pharmacy-09-00027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/12cdcd6e80e8/pharmacy-09-00027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96eb/7924400/93c366119a3f/pharmacy-09-00027-g003.jpg

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