CourseProject: Chrome Extension that analyzes the sentiment of comments on a page of Youtube videos

Video Tutorial: https://drive.google.com/file/d/1DyVwC1LILAxA8Otna0wsqkc5GQsomNcI/view?usp=sharing

Getting Started

Install ChromeDriver:

• Download here: https://chromedriver.chromium.org/getting-started
• Follow this tutorial: https://www.swtestacademy.com/install-chrome-driver-on-mac/

Dependencies (Run these commands in terminal in the repo after you clone it)

Install selenium:

• pip install selenium

Install pandas:

• pip install pandas

Install vaderSentiment:

• pip install vaderSentiment

Install nltk:

• pip install nltk

To execute the code

Initial Steps

1. Clone this repository in a location you will remember.
2. Open up a Chrome browser

Add the Rice extension to Chrome

1. Click on the extensions button in the top right corner.

   

2. Click on "Manage Extensions". This should open another tab.
3. You should toggle the "Developer Mode" in the top right corner of the page.

   

4. Click "Load unpacked".

   

5. Navigate to the repository that you cloned and then click into the folder called "chrome_extension". Click the blue select button
6. Now you should see this in your extensions

   

7. You need to now click on the extensions button again in the top right corner and pin Rice to your browser bar.

   

Try the extension out!

1. Open up a Chrome browser to any youtube channel. Navigate to the videos tab of the channel. Your url should look something like "youtube.com/c/username/videos"
2. Open the terminal and navigate to the repository you cloned. You should be in /path/to/CourseProject
3. Run the server by running this line of code in the terminal python3 comments_scraping.py
4. Once you see the message "Server started http://localhost:8080", go to your chrome tab with the youtube channel videos
5. Click on the Rice extension icon in the top right corner. You should see a square with a button in the middle.

   

6. Click the center button and wait for your results! Give it at least 1.5 minutes to ensure it works.
7. You might see something like this:

   

   • A video title highlighted in red means the video's comment section contains an average negative sentiment
   • A video title highlighted in green means the video's comment section contains an average positive sentiment
   • A video title highlighted in blue menas the video's comment section contains an averager neutral sentiment
   • Note: The darker the color the more positive/negative the comments' average sentiment is

NOTE: User of extension must restart server code every time the channel is refreshed or navigated to a new channel. They can do this by executing the following commands in the terminal where the server is running:

1. ^C
2. python3 comments_scraping.py