# JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning

<https://repo.masters-masters.com/repos/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning>

[Accueil](https://repo.masters-masters.com/) › [JosephAssaker](https://repo.masters-masters.com/owners/JosephAssaker) › [Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning](https://repo.masters-masters.com/repos/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning)

JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning, dépôt open source à 102 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [JosephAssaker](https://repo.masters-masters.com/owners/JosephAssaker) |
| Étoiles | 102 |
| Forks | 27 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2020 |
| Sujets | nlp, python, sentiment-analysis, sentiment-classification, natural-language-processing, lstm, deep-learning |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning](https://github.com/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning) |

## Fiche du dépôt

This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.