Download PDFOpen PDF in browserAnalyzing Sentiments and Topics on Twitter Towards Rising Cost of LivingEasyChair Preprint 1060517 pages•Date: July 21, 2023AbstractIn September 2022, the United Kingdom experienced an un- precedented 40-year high in its inflation rate, resulting in a cost of living crisis that has significantly impacted British citizens. To assess public opinion on this issue, we developed a social media analytics pipeline to collect and analyze microblogs posted on Twitter. Our primary objective was to conduct sentiment analysis on the collected tweets to determine the dominant sentiment towards the topic of the cost of living. Addi- tionally, we performed named entity recognition to identify the entities most frequently mentioned and used topic modeling to uncover the most discussed topics. Our approach employed a hybrid sentiment analysis method that utilized three lexicons for preliminary tweet labeling and fine-tuned a RoBERTa model. Our results demonstrate the superior ef- fectiveness of our methods, which provided an in-depth analysis of the cost-of-living situation in the UK. Keyphrases: Rising Cost of Living, Sentiment Analysis, Topic Modelling, text mining
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