Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Pharmacy |
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| Online Access: | https://www.mdpi.com/2226-4787/9/1/27 |
| _version_ | 1797408062409015296 |
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| author | Chad Compagner Corey Lester Michael Dorsch |
| author_facet | Chad Compagner Corey Lester Michael Dorsch |
| author_sort | Chad Compagner |
| collection | DOAJ |
| description | 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, <i>p</i> < 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, <i>p</i> < 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. |
| first_indexed | 2024-03-09T03:52:53Z |
| format | Article |
| id | doaj.art-d4b0fe263c4b4217a54cd21193d581e2 |
| institution | Directory Open Access Journal |
| issn | 2226-4787 |
| language | English |
| last_indexed | 2024-03-09T03:52:53Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Pharmacy |
| spelling | doaj.art-d4b0fe263c4b4217a54cd21193d581e22023-12-03T14:25:31ZengMDPI AGPharmacy2226-47872021-01-01912710.3390/pharmacy9010027Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake InhibitorsChad Compagner0Corey Lester1Michael Dorsch2College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USACollege of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USACollege of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USABackground: 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, <i>p</i> < 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, <i>p</i> < 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.https://www.mdpi.com/2226-4787/9/1/27sentimentantidepressantdepressionemotionSSRISNRI |
| spellingShingle | Chad Compagner Corey Lester Michael Dorsch Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors Pharmacy sentiment antidepressant depression emotion SSRI SNRI |
| title | Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors |
| title_full | Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors |
| title_fullStr | Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors |
| title_full_unstemmed | Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors |
| title_short | Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin–Norepinephrine Reuptake Inhibitors |
| title_sort | sentiment analysis of online reviews for selective serotonin reuptake inhibitors and serotonin norepinephrine reuptake inhibitors |
| topic | sentiment antidepressant depression emotion SSRI SNRI |
| url | https://www.mdpi.com/2226-4787/9/1/27 |
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