使用 Kili 與 Hugging Face AutoTrain 進行輿情分類 (Opinion Classification)
Original: Opinion Classification with Kili and HuggingFace AutoTrain
In machine learning and natural language processing (NLP) projects, high-quality annotated data and efficient model training are the two…
本教學介紹了一套無程式碼/低程式碼的 NLP 工作流。首先利用 Kili Technology 平台進行高效的文本數據標註與品質管理，接著將標註好的輿情數據集導入 Hugging Face AutoTrain。AutoTrain 會自動嘗試多種開源模型架構並進行微調，讓開發者在無需編寫複雜深度學習程式碼的情況下，快速構建出高精度的輿情與觀點分類模型。
In machine learning and natural language processing (NLP) projects, high-quality annotated data and efficient model training are the two cornerstones of success. Opinion classification is a common NLP application that aims to identify subjective attitudes, stances, or opinion tendencies within text. This article provides a detailed walkthrough of how to combine Kili Technology with Hugging Face AutoTrain to streamline this workflow.
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