2021
DOI: 10.3390/sexes2010004
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The Social Aspects of Sexual Health: A Twitter-Based Analysis of Valentine’s Day Perception

Abstract: Sentiment analysis (SA) is a technique aimed at extracting opinions and sentiments through the analysis of text, often used in healthcare research to understand patients’ needs and interests. Data from social networks, such as Twitter, can provide useful insights on sexual behavior. We aimed to assess the perception of Valentine’s Day by performing SA on tweets we collected between 28 January and 13 February 2019. Analysis was done using ad hoc software. A total of 883,615 unique tweets containing the word “va… Show more

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“…Their findings indicated that as Valentine's Day neared, evaluations of roses and chocolates (but not a comparison object) were evaluated more positively. Further consistent with societal depictions of Valentine's Day as romantic, another study using sentiment analysis-i.e., a technique that extracts opinions and feelings through the analysis of text-found that tweets about Valentine's Day mostly focused on emotions and material aspects of the celebration versus sexual elements (Sansone et al, 2021). But what happens when the flowers, candy, and cards are not forthcoming and there is no romantic partner in the picture to provide them?…”
Section: Introductionmentioning
confidence: 99%
“…Their findings indicated that as Valentine's Day neared, evaluations of roses and chocolates (but not a comparison object) were evaluated more positively. Further consistent with societal depictions of Valentine's Day as romantic, another study using sentiment analysis-i.e., a technique that extracts opinions and feelings through the analysis of text-found that tweets about Valentine's Day mostly focused on emotions and material aspects of the celebration versus sexual elements (Sansone et al, 2021). But what happens when the flowers, candy, and cards are not forthcoming and there is no romantic partner in the picture to provide them?…”
Section: Introductionmentioning
confidence: 99%