# kavgan/nlp-in-practice

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1,185 stars · 783 forks · Jupyter Notebook

## Links

- GitHub: https://github.com/kavgan/nlp-in-practice
- Homepage: http://kavita-ganesan.com/kavitas-tutorials/#.WvIizNMvyog
- awesome-repositories: https://awesome-repositories.com/repository/kavgan-nlp-in-practice.md

## Topics

`gensim` `machine-learning` `natural-language-processing` `nlp` `text-classification` `text-mining` `tf-idf` `word2vec`

## Description

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.

## Tags

### Part of an Awesome List

- [Natural Language Processing](https://awesome-repositories.com/f/awesome-lists/ai/natural-language-processing.md) — Practical examples for text mining and NLP workflows.