netrookiecn/LinLP
使用Python进行自然语言处理相关实践，如新词发现，主题模型，隐马尔模型词性标注，Word2Vec，情感分析
This collection of Python practices helps natural language processing engineers perform common tasks. It takes raw text data as input and produces outputs like categorized sentiment, identified new words, part-of-speech tags, or topic models. You would use this if you're an NLP engineer looking for practical implementations of various NLP algorithms and models.
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Use this if you need ready-to-use Python implementations for tasks such as text vectorization, sentiment analysis, new word discovery, or topic modeling.
Not ideal if you are looking for a fully-fledged, production-ready NLP pipeline or an easy-to-use API without coding knowledge.
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Python
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Last pushed
Jan 08, 2020
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