Hugging Face 實戰教學：如何利用 Transformers 進行 Twitter (X) 貼文情緒分析
Original: Getting Started with Sentiment Analysis on Twitter
This hands-on guide from the official Hugging Face blog provides a detailed walkthrough of how to use natural language processing (NLP)…
本指南為 Hugging Face 官方實戰教學，指導開發者如何利用 Transformers 庫對 Twitter (X) 貼文進行情緒分析。內容涵蓋使用 Pipeline API 進行快速推論、選用針對社群媒體優化的 twitter-roberta-base 模型，以及如何使用自訂資料集進行模型微調，是 NLP 初學者與社群輿情分析師的必讀經典。
This hands-on guide from the official Hugging Face blog provides a detailed walkthrough of how to use natural language processing (NLP) techniques to perform sentiment analysis on posts from Twitter (now X). Social media platforms generate enormous volumes of user-generated content every day — data that is critical for brand monitoring, market research, and public opinion analysis. Automated sentiment analysis is the key to unlocking the value of this data.
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