Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data

Abstract

e use of online social networks (OSNs) platforms has increased, there are some popular OSNs platforms such as Facebook, Instagram, YouTube, and Twitter. In those platforms, the numbers of active users are over millions in a day. Understanding OSNs' users opinions therefore is a trend subject for researchers. To do so, the sentiment analysis techniques are used to deduce OSNs users opinions from a shared post. This work analyses Facebook users' opinions on deadly disasters happened in Turkey during July and August in 2021. We hypothesised that Facebook users' should have reacted to posts by giving "Like, Love Care, Sad, Wow, and Upset” but not "Haha" because this research have analysed posts, which include sad news about disasters. Our findings show that the deadly disaster posts had substantial negative sentiments. This may mean that some Facebook users were happy to see deadly disasters in Turkey.

Keywords

• Sentiment analysis
• online social networks posts
• information retrieval
• Facebook
• sentiment index

References

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