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

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

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

JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning has 102 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [JosephAssaker](https://repo.masters-masters.com/en/owners/JosephAssaker) |
| Stars | 102 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Topics | nlp, python, sentiment-analysis, sentiment-classification, natural-language-processing, lstm, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning](https://github.com/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.