DMI FeelFlow

DMI FeelFlow is a project focused on sentiment analysis of commercials created by DMI students. By acquiring data on the commercials through Telegram APIs, the project explores the emotions of the viewers. The goal is to obtain an emotional assessment of the users within the Telegram channel through various visualizations.

ℹ️ How to use

1. Clone the repository

 git clone https://github.com/ManciSee/DMI-FeelFlow.git
 cd folder_name

2. Install the requirements

 pip install -r requirements.txt

3. Run the script.py and save the CSV

 pyhton3 script.py

4. Run the sentiment.py that is inside the sentiment folder

 cd sentiment
 pyhton3 sentiment.py

🔎 Running Tests

To run tests, run the following command

 python3 test.py

❗️ Environment Variables

To run this project, you will need to add the following environment variables to your .env file

API_ID

API_HASH

PHONE_NUMBER

CHANNEL_ID

MESSAGE_ID

👥 Authors