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During the experiments, the authors found out that consideration of the posts' sentiment allows increasing accuracy of the classifier for anxiety destructive impacts on 12.24 %. Additionally, we analysed the relationship between the user sentiments metric and destructiveness.
Sep 18, 2024
Sep 18, 2024 · The authors found out that consideration of the posts' sentiment allows increasing accuracy of the classifier for anxiety destructive impacts on 12.24 %.
During the experiments, the authors found out that consideration of the posts' sentiment allows increasing accuracy of the classifier for anxiety destructive ...
During the experiments, the authors found out that consideration of the posts' sentiment allows increasing accuracy of the classifier for anxiety destructive ...
During the experiments, the authors found out that consideration of the posts' sentiment allows increasing accuracy of the classifier for anxiety destructive ...
This page is a summary of: Considerations on sentiment of social network posts as a feature of destructive impacts , AI Communications, September 2024, IOS ...
Their popularity among the younger generation is high, and the spread of malicious information in social networks can have a destructive effect on the behavior ...
Oct 3, 2022 · Our analysis using the LIWC lexicon reveals that suicidal posts score higher on authenticity, anxiety, mentality, depression, negativity, and ...
We find that direct exposure to wildfires significantly decreases the expressed sentiment score and increases the expressions of fear and political discontent.
Jan 21, 2020 · This paper is a report of a review on sentiment analysis in social media that explored the methods, social media platform used and its application.