3 SpaCy Tricks for Efficient Text Processing & Entity Recognition
KDnuggets2276 字 (约 10 分钟)
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By selectively loading pipeline components, parallel batching, and combining rule‑based with statistical NER, spaCy’s text processing speed can be increased 2–3× while reducing memory usage.
入选理由：排除不必要的组件（如 parser、tagger）可将 1,000 条文本的 NER 处理时间从 2.85 秒降至 1.12 秒，提升 2.5×。
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