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Retrieved on: 2024-03-15 19:48:57
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Summary
The article discusses a study analyzing 1.5 million U.S. tweets from 2021 to understand political alignment, sentiment, and lexical-semantic divergence using NLP techniques like word embeddings. The study employed computational linguistics tools such as doc2vec and UMAP for semantic analysis, exploring how terms and emojis (including the Face with Tears of Joy emoji) reflect political leanings and sentiment on social media platforms like Twitter.
Article found on: www.nature.com
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