# Youtube_Comments_Analysis
I t's A Called Youtube Analysis And Hate Speech Detection.
As In Name It Have Two Pages One Is Sentiment Analysis And Another Is Hate Speech Analysis
It Only Requires A YouTube Video Link That You Want To Analyze And Then It Runs The Transformer Models On The Comments Of That Video. It Gives Graph And Analysis Of Comment's Emotions With Abusive Language Analysis.
NOTE:It Uses Models That Are Configured For Tamil And English Language
To Run It Follow The Following Steps.
Clone the Repository:
git clone https://github.com/kailai-13/Youtube_Comments_Analysis/
cd Youtube_Comments_Analysis
Set Up a Virtual Environment (Optional but Recommended): Create and activate a virtual environment to isolate dependencies.
python -m venv env
env\Scripts\activate
Install Dependencies: Install all required Python packages specified in the requirements.txt file.
pip install -r requirements.txt
Set Up the Database: Run Django migrations to set up the database.
python manage.py makemigrations
python manage.py migrate
Run the Development Server: Start the Django development server to test the app locally.
python manage.py runserver
Open your browser and navigate to http://127.0.0.1:8000/ to view your app.
thank you if you see this
123 commits
HTML
58.8%
Python
41.2%
# Youtube_Comments_Analysis
I t's A Called Youtube Analysis And Hate Speech Detection.
As In Name It Have Two Pages One Is Sentiment Analysis And Another Is Hate Speech Analysis
It Only Requires A YouTube Video Link That You Want To Analyze And Then It Runs The Transformer Models On The Comments Of That Video. It Gives Graph And Analysis Of Comment's Emotions With Abusive Language Analysis.
NOTE:It Uses Models That Are Configured For Tamil And English Language
To Run It Follow The Following Steps.
Clone the Repository:
git clone https://github.com/kailai-13/Youtube_Comments_Analysis/
cd Youtube_Comments_Analysis
Set Up a Virtual Environment (Optional but Recommended): Create and activate a virtual environment to isolate dependencies.
python -m venv env
env\Scripts\activate
Install Dependencies: Install all required Python packages specified in the requirements.txt file.
pip install -r requirements.txt
Set Up the Database: Run Django migrations to set up the database.
python manage.py makemigrations
python manage.py migrate
Run the Development Server: Start the Django development server to test the app locally.
python manage.py runserver
Open your browser and navigate to http://127.0.0.1:8000/ to view your app.
thank you if you see this
123 commits
HTML
58.8%
Python
41.2%