# sharmaroshan/Twitter-Sentiment-Analysis

<https://repo.masters-masters.com/en/repos/sharmaroshan/Twitter-Sentiment-Analysis>

[Home](https://repo.masters-masters.com/en) › [sharmaroshan](https://repo.masters-masters.com/en/owners/sharmaroshan) › [Twitter-Sentiment-Analysis](https://repo.masters-masters.com/en/repos/sharmaroshan/Twitter-Sentiment-Analysis)

sharmaroshan/Twitter-Sentiment-Analysis has 266 stars on GitHub. Its RepoMasters card: Alpha tier. It is a Natural Language Processing Problem where Sentiment…

| Field | Value |
| --- | --- |
| Owner | [sharmaroshan](https://repo.masters-masters.com/en/owners/sharmaroshan) |
| Stars | 266 |
| Forks | 128 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2019 |
| Topics | nlp, sentiment-analysis, data-analysis, bag-of-words, data-visualization, eda, machine-learning, classification, cross-validation, evaluation-metrics |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sharmaroshan/Twitter-Sentiment-Analysis](https://github.com/sharmaroshan/Twitter-Sentiment-Analysis) |

## Repository

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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