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You too can nlp - PyBay 2018 lightning talk

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Jacob Perkins
Jacob Perkins

Brief highlights of Python NLP libraries, including NLTK, Spacy, Scikit-learn, Gensim, and Rasa. Covers tokenization, language modeling, topic modeling, parsing, and nlu/chatbots.

Technology
1 of 14
You too can NLP Jacob Perkins CTO @ Insight Engines PyBay 2018
Tokenization (a.k.a Segmentation) ● NLTK ● Spacy Text -> Sentences Sentences -> Words
https://text-processing.com/demo/tokenize/
Language Modeling Words = Vectors Learn from context ● word2vec ● glove ● gensim
5 https://nlp.stanford.edu/projects/glove/
6 https://nlp.stanford.edu/projects/glove/
7 https://deeplearning4j.org/word2vec
Topic Modelling 8 ● gensim ● scikit-learn Assume topics exist Cluster text by similarity
9 https://shuaiw.github.io/2016/12/22/topic-modeling-and-tsne-visualzation.html
Parsing 10 ● spacy for parsing ● displacy for visualizing ● prodigy for making training data Part-of-Speech tagging Dependency parsing
11 https://explosion.ai/demos/displacy
NLU & Chatbots 12 ● rasa nlu for intent & entities ● rasa core for dialogue NLU = natural language understanding Intent classification Entity recognition Dialogue processing
13 https://rasa.com/products/rasa-stack/
Thank You! Jacob Perkins https://insightengines.com https://streamhacker.com @japerk

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