Terms—sentiment analysis, social media mining, public opinion monitoring, transformer models, RoBERTa, sarcasm detection, code-mixed NLP, distributed inference, platform-adaptive fine-tuning, opinion
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A Scalable Transformer-Based Framework for Sentiment Analysis and Public Opinion Mining Across Heterogeneous Social Media Platforms
Abstract: Social media platforms generate more than 500 million posts every day, creating a constantly changing record of public opinion about political events, public health crises, brands, and social movements. Although this data is extremely valuable, turning raw social media text into clear and useful opinion insights is still difficult because of three main challenges. First, different platforms such as Twitter/X, Reddit, YouTube, and Facebook use different writing styles, vocabulary, post …
Published in NOLEGEIN Journal of Advertising and Brand Management · Vol. 9, Issue 2, 2026 Read article