# llSourcell/How\_to\_do\_Sentiment\_Analysis

<https://repo.masters-masters.com/en/repos/llSourcell/How_to_do_Sentiment_Analysis>

[Home](https://repo.masters-masters.com/en) › [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) › [How\_to\_do\_Sentiment\_Analysis](https://repo.masters-masters.com/en/repos/llSourcell/How_to_do_Sentiment_Analysis)

llSourcell/How\_to\_do\_Sentiment\_Analysis has 113 stars on GitHub. Its RepoMasters card: Prototype tier. This is the code for 'How to Do Sentiment Analysis' \#3…

| Field | Value |
| --- | --- |
| Owner | [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) |
| Stars | 113 |
| Forks | 103 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [llSourcell/How\_to\_do\_Sentiment\_Analysis](https://github.com/llSourcell/How_to_do_Sentiment_Analysis) |

## Repository

This is the code for 'How to Do Sentiment Analysis' \#3 - Intro to Deep Learning by Siraj Raval on Youtube

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.
