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My Answer to "What are some of the best Python text analysis libraries?"

Muktabh Mayank

Data Scientist, Coder & Entrepreneur

发布日期: 2020年2月4日

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Original answer is here : https://qr.ae/Tm3LFC

FastText : https://fasttext.cc/ :: Quick prototyping with very small datasets.

NLTK : https://www.nltk.org/ :: Large set of corpora with traditional NLP methods

SpaCy: https://spacy.io/ :: A very good set of pretrained algorithms useful without any effort.

Gensim: https://radimrehurek.com/gensim/ :: As the tagline says, “Topic Modelling for humans”

Stanford NLP : https://stanfordnlp.github.io/stanfordnlp/ :: Again, really good pre implemented models in various languages for easy usage.

AllenNLP: https://allennlp.org/ :: NLP algorithm researcg toolkit on top of PyTorch.

Flair: https://github.com/flairNLP/flair :: Very powerful NLP library on top of PyTorch

Huggingface's Transformers: https://github.com/huggingface/transformers Huggingface’s implementation of Transformer (and other LM based transfer learning approaches) algorithm. Super cool to use.

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My Answer to "What are some of the best Python text analysis libraries?"

Muktabh Mayank

Data Scientist, Coder & Entrepreneur

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