shibing624/nlp-tutorial
自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。
This project offers practical examples for a wide range of natural language processing (NLP) tasks. It helps practitioners, data scientists, and AI researchers understand how to process and analyze text data, from breaking sentences into words to understanding text meaning and generating new sentences. You can input raw text and get outputs like categorized text, translated sentences, or identified entities.
485 stars. No commits in the last 6 months.
Use this if you are an NLP practitioner or data scientist looking for concrete examples and baseline implementations to solve common text-related problems like classifying documents, building chatbots, or extracting information from text.
Not ideal if you are looking for a plug-and-play application or a production-ready system without any coding or deep understanding of machine learning concepts.
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485
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Jupyter Notebook
License
Apache-2.0
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Last pushed
May 07, 2022
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