Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel

Tromp, Erik; Pechenizkiy, Mykola

doi:10.48550/arxiv.1412.4682

Cited by 6 publications

(9 citation statements)

References 4 publications

(9 reference statements)

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“…Nonetheless, Redditors also reported experiencing feelings of "fear" while discussing NIPT, especially those who believed NIPT was not worthwhile. Fear is commonly linked to sensations of stress, which aligns with the finding that some individuals may perceive NIPT as anxiety-inducing, stressful, and uncertain [27,32]. Additionally, sadness is associated with feelings of disappointment and loss, which could be due to individuals receiving positive results or feeling dissatisfied with the NIPT process or outcomes [32].…”

Section: Sentiments Regarding Niptmentioning

confidence: 71%

“…This could be interpreted as an expression of the uncertain nature of NIPT results. Additionally, the feelings of trust and joy are considered positive emotions [32] and align with research, indicating that the majority of individuals view NIPT as a valuable tool [33]. Nonetheless, Redditors also reported experiencing feelings of "fear" while discussing NIPT, especially those who believed NIPT was not worthwhile.…”

Section: Sentiments Regarding Niptmentioning

confidence: 75%

“…Furthermore, the presence of minimal comments expressing disgust or anger suggests that the discussions are less focused on reacting negatively to NIPT. Therefore, as discussed above, anticipation is typically associated with sensations of being alert and exploring [32]. This could be interpreted as an expression of the uncertain nature of NIPT results.…”

Section: Sentiments Regarding Niptmentioning

confidence: 95%

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Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

Xiao,

Yan,

Hayeems

2024

Public Health Genomics

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Introduction: Non-invasive prenatal testing (NIPT) can be used to detect fetal chromosomal abnormalities early in pregnancy. As eligibility criteria broaden and screening targets expand, gauging public acceptability of NIPT becomes increasingly important. Leveraging social media as a rich source of public discourse, the purpose of this study was to understand public opinions and attitudes toward NIPT on the social media platform Reddit. Methods: We applied content and natural language processing techniques (i.e., sentiment analysis) to textual data collected from 4 Reddit communities focusing on the NIPT content posted from September 2012 to September 2022 (367 posts and 7822 comments in total). Results: Content analysis findings indicated that social media users consider NIPT to be worthwhile. Reasons NIPT was perceived to be not worthwhile related to unwanted anxiety, and the fact that NIPT results would not change anything about their approach to pregnancy were also expressed. The sentiment analysis identified more positive than negative emotions; the mean sentiment scores ranged from 0.48 and 1.22, depending on the specific Lexicon used. Specific emotions (i.e., trust, fear) were also identified. Conclusion: Our novel approach to understanding public perception and attitudes toward NIPT yielded results that are consistent with conventional patient-oriented research methods. These findings may not only contribute to ongoing improvements in prenatal patient care, research, and policy but also indicate that sentiment analysis applied to social media data can serve as a suitable means to assess public acceptability of NIPT, particularly as public dialogue on this topic increases over time.

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Section: Sentiments Regarding Niptmentioning

confidence: 71%

Section: Sentiments Regarding Niptmentioning

confidence: 75%

Section: Sentiments Regarding Niptmentioning

confidence: 95%

See 1 more Smart Citation

Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

Xiao,

Yan,

Hayeems

2024

Public Health Genomics

View full text Add to dashboard Cite

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“…Third, this framework has been extensively applied to analyze emotions in textual content. People present their emotions and deliver messages via multiple methods; significantly, with the rise of social media, social media has become a trending platform to deliver emotions, for instance, via online customer reviews [52], micro-blogs [53], and social media messages [54]. Moreover, people adjust their social lives using social media platforms since in-person communication was discouraged during COVID-19 [55].…”

Section: Qualitative Attributes On Customer Review Websites and Their...mentioning

confidence: 99%

Initial Stage of the COVID-19 Pandemic: A Perspective on Health Risk Communications in the Restaurant Industry

Wang

Tang

Zhang

et al. 2022

IJERPH

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Restaurant online review websites have made changes to adapt to customers’ shifting needs during the COVID-19 crisis. Based on information behavior theory and social penetration theory, the present study investigated the changes in customers’ emotions and how the volume of online reviews as an indication of sales is impacted by the instructional (i.e., with quantitative variables) and emotional (i.e., with qualitative variables) information on review websites. By comparing the same month (January–April) during 2017–2020, positive sentiment experienced a plunge, while negative sentiment showed an upsurge in April 2020. The volume of reviews was impacted by five quantitative variables (i.e., confirmed COVID-19 case number, food delivery option, takeout option, delivery fee, and delivery time) and seven qualitative variables (i.e., anticipation, fear, trust, anger, disgust, joy, and sadness). This study provides new insight into understanding information content on review websites during the crisis (e.g., pandemic) from the perspective of health risk communication.

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“…1 The emotion flow from an excerpt from 'Cinderella'. A single passage can contain a dramatic change in emotions Liu et al [5] proposed the use of the modified Plutchik's wheel of emotions (consisting of 8 primary emotions) to predict the emotion conveyed in a fairy tale passage [6]. Although the dataset is quite large and multi-class labels were used, their work was performed at the passage level (averaging 6.24 sentences per passage), which may not precisely capture the complex emotional flow of a storyline.…”

Section: Introductionmentioning

confidence: 99%

EmoStory: Emotion Prediction and Mapping in Narrative Stories

Too,

See,

Quek

et al. 2023

JOIV : Int. J. Inform. Visualization

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A well-designed story is built upon a sequence of plots and events. Each event has its purpose in piquing the audience's interest in the plot; thus, understanding the flow of emotions within the story is vital to its success. A story is usually built up through dramatic changes in emotion and mood to create resonance with the audience. The lack of research in this understudied field warrants exploring several aspects of the emotional analysis of stories. In this paper, we propose an encoder-decoder framework to perform sentence-level emotion recognition of narrative stories on both dimensional and categorical aspects, achieving MAE=0.0846 and 54% accuracy (8-class), respectively, on the EmoTales dataset and a reasonably good level of generalization to an untrained dataset. The first use of attention and multi-head attention mechanisms for emotion representation mapping (ERM) yields state-of-the-art performance in certain settings. We further present the preliminary idea of EmoStory, a concept that seamlessly predicts both dimensional and categorical space in an efficient manner, made possible with ERM. This methodology is useful in only one of the two aspects is available. In the future, these techniques could be extended to model the personality or emotional state of characters in stories, which could benefit the affective assessment of experiences and the creation of emotive avatars and virtual worlds

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Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel

Cited by 6 publications

References 4 publications

Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

Initial Stage of the COVID-19 Pandemic: A Perspective on Health Risk Communications in the Restaurant Industry

EmoStory: Emotion Prediction and Mapping in Narrative Stories

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