Sentiment Analysis of Reddit Data using Reddit API

In this live coding session, we leverage the Python Reddit API Wrapper (PRAW) to retrieve data from subreddits on Reddit, and perform sentiment analysis using pipelines from HuggingFace ( 🤗 the GitHub of Machine Learning ), powered by transformer.

☑️ Objectives

At the end of this session, you will be able to:

Know how to work with APIs
Feel more comfortable navigating thru documentation, even inspecting the source code
Understand what a pipeline object is in HuggingFace
perform sentiment analysis using pipeline
Run a python script in command line and get the results
Examine the quality of data
Understand data lineage

Let's get started by creating a Week 3 Repository!

Creating your Week 3 Repository

Be sure to fill out your repository name, description, and ensure it's public! NOTE: DO NOT ADD A README OR LICENSE

Now that you've done the required set-up on GitHub.com, let's move to our terminal and clone the MLE-8 repository!
```
git clone git@github.com:FourthBrain/MLE-8.git
```
OPTIONAL: If you've already cloned the MLE-8 repository - feel free to pull the recent changes by cding into the directory that contains the MLE-8 repo, and running this command. Be sure to return to the parent directory before moving on! (cd ..)
```
 git pull origin main
```
Now, we're going to copy the contents of the assignment to a new folder using the following command
```
cp -r MLE-8/assignments/week-3-analyze-sentiment-reddit .
```
Once that is complete, we'll cd into the newly created folder with
```
cd week-3-analyze-sentiment-reddit
```
Now, let's init our repository in this folder using
```
git init
```
We'll add the contents of the folder using
```
git add .
```
Let's create an initial commit!
```
git commit -m "Initial Commit"
```
Now we can add our created repository as a remote using the following command. Don't forget, you can get the SSH address from your repository by clicking the green Code button on GitHub.com!
```
git remote add main git@github.com:<YOUR GITHUB USERNAME>/<YOUR REPOSITORY NAME>
```
Now we'll set our branch to main
```
git branch -M main
```
Last, but not least, let's push the contents of our commit to our repo!
```
git push -u main main
```
That's it, that's all!

Create a new Conda environment for sentiment anaylsis (sa). If you already have this environment, continue to the next step.

  conda create -n sa python=3.8 jupyter -y

Activate your new environment

  conda activate sa

Open the jupyter-notebook

  jupyter-notebook

Navigate through the repo in the notebook to find imports.ipynb for this week and open it.

Run all of the cells in the notebook.

Please review the weekly narrative here