IMDb Sentiment Analysis: A Comprehensive Guide with DistilBERT LoRA, TF-IDF Baselines, Calibration, and More
Hugging Face
This tutorial offers a comprehensive guide to building a robust sentiment analysis workflow. It combines classical TF-IDF baselines with modern parameter-efficient fine-tuning using DistilBERT and LoRA, and explores interpretability, calibration, and semi-supervised learning techniques for scalable sentiment inference.
The tutorial provides a comprehensive guide to building a robust sentiment analysis workflow. It combines classical TF-IDF baselines with modern parameter-efficient fine-tuning using DistilBERT and LoRA. The guide covers deep model interpretability, calibration, robustness testing, and semi-supervised learning techniques to achieve scalable sentiment inference. The content is presented as a step-by-step tutorial, likely including practical code examples and evaluations on the IMDb dataset.
- Abbreviations
- TF-IDF = Term Frequency-Inverse Document Frequency — Частота термина-обратная частота документа
- LoRA = Low-Rank Adaptation — Низкоранговая адаптация
Source: MarkTechPost —
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