# kavgan/nlp-in-practice

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

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

kavgan/nlp-in-practice, dépôt open source à 1 187 étoiles sur GitHub. Carte Bêta de RepoMasters. Starter code to solve real world text data problems…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [kavgan](https://repo.masters-masters.com/owners/kavgan) |
| Étoiles | 1 187 |
| Forks | 780 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2018 |
| Sujets | nlp, natural-language-processing, word2vec, text-classification, gensim, tf-idf, machine-learning, text-mining |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [kavgan/nlp-in-practice](https://github.com/kavgan/nlp-in-practice) |

## Fiche du dépôt

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.

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.