{
  "id": 18655,
  "url": "https://arxiv.org/abs/2608.11049v1",
  "title": "Multiclass Sentiment Analysis for Identifying Political Viewpoints",
  "summary": "The rapid growth of social media has created vast amounts of political discourse, which provides valuable opportunities to analyze public opinions and identify different political perspectives. Sentiment Analysis (SA) is a core task in Natural Language Processing (NLP) that allows the computational study of attitudes and opinions in textual data, and has become increasingly important for understanding political discourse. In this work, we investigate multiclass sentiment analysis of political vi",
  "authors": "Girma Yohannis Bade, Olga Kolesnikova, Jose Luis Oropeza, Grigori Sidorov",
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T15:21:23.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18655",
  "original_url": "https://arxiv.org/abs/2608.11049v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}