Identifying Worry in Twitter: Beyond Emotion Analysis
Identifying the worries of individuals and societies plays a crucial role in providing social support and enhancing policy decision-making. Due to the popularity of social media platforms such as Twitter, users share worries about personal issues (e.g., health, finances, relationships) and broader issues (e.g., changes in society, environmental concerns, terrorism) freely. In this paper, we explore and evaluate a wide range of machine learning models to predict worry on Twitter. While this task has been closely associated with emotion prediction, we argue and show that identifying worry needs to be addressed as a separate task given the unique challenges associated with it. We conduct a user study to provide evidence that social media posts express two basic kinds of worry – normative and pathological – as stated in psychology literature. In addition, we show that existing emotion detection techniques underperform, especially while capturing normative worry. Finally, we discuss the current limitations of our approach and propose future applications of the worry identification system.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingEmotion RecognitionSimilar Papers 제목 키워드 기반
Emotion Analysis on Twitter: The Hidden Challenge
In this paper, we present an experiment to detect emotions in tweets. Unlike much previous research, we draw the important distinction between the tasks of emotion detection in a closed world assumption (i.e. every tweet…
BIG-bench Machine LearningEmotion RecognitionWorryWords: Norms of Anxiety Association for over 44k English Words
Anxiety, the anticipatory unease about a potential negative outcome, is a common and beneficial human emotion. However, there is still much that is not known, such as how anxiety relates to our body and how it manifests …
Measuring Emotions in the COVID-19 Real World Worry Dataset
The COVID-19 pandemic is having a dramatic impact on societies and economies around the world. With various measures of lockdowns and social distancing in place, it becomes important to understand emotional responses on …
Public Reaction to Scientific Research via Twitter Sentiment Prediction
Social media users share their ideas, thoughts, and emotions with other users. However, it is not clear how online users would respond to new research outcomes. This study aims to predict the nature of the emotions expre…
ArticlesCausality Analysis of Twitter Sentiments and Stock Market Returns
Sentiment analysis is the process of identifying the opinion expressed in text. Recently, it has been used to study behavioral finance, and in particular the effect of opinions and emotions on economic or financial decis…
General ClassificationSentiment AnalysisTwitter Sentiment Analysis