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GitHub / kavgan / nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavgan%2Fnlp-in-practice
Stars: 1,120
Forks: 781
Open Issues: 4
License: None
Language: Jupyter Notebook
Repo Size: 91.8 MB
Dependencies:
0
Created: over 6 years ago
Updated: about 1 month ago
Last pushed: over 3 years ago
Last synced: 29 days ago
Topics: gensim, machine-learning, natural-language-processing, nlp, text-classification, text-mining, tf-idf, word2vec
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