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更新于 : Nov 30, 2017
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这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.

Mar 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.

发布于 : Mar 29, 2017
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