# kavgan/nlp-in-practice

<https://repo.masters-masters.com/en/repos/kavgan/nlp-in-practice>

[Home](https://repo.masters-masters.com/en) › [kavgan](https://repo.masters-masters.com/en/owners/kavgan) › [nlp-in-practice](https://repo.masters-masters.com/en/repos/kavgan/nlp-in-practice)

kavgan/nlp-in-practice has 1,187 stars on GitHub. Its RepoMasters card: Beta tier. Starter code to solve real world text data problems. Includes: Gensim…

| Field | Value |
| --- | --- |
| Owner | [kavgan](https://repo.masters-masters.com/en/owners/kavgan) |
| Stars | 1,187 |
| Forks | 780 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | nlp, natural-language-processing, word2vec, text-classification, gensim, tf-idf, machine-learning, text-mining |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [kavgan/nlp-in-practice](https://github.com/kavgan/nlp-in-practice) |

## Repository

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.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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