Big Five Personality Analysis based on Twitter (X) posts.
Project description
Persai
Introduction 🔎
Persai is a Python package designed to analyze Twitter (X) posts and provide insights into the Big Five personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). This tool leverages data from your Twitter archive to offer a unique perspective on your social media presence. 🐦
Visit our website for more information and documentation
Installation 🛠️
Install Persai easily using pip:
pip install persai
Configuration ⚙️
Setting Up Your Environment File
To use Persai, you need to set up an environment file containing your OpenAI key. Follow these steps to create your .env
file:
-
Create a .env File:
- In the directory where you plan to run the package, create a new file named
.env
.
- In the directory where you plan to run the package, create a new file named
-
Add Your OpenAI Key:
- Open the
.env
file in a text editor. - Add your OpenAI key in the following format:
OPENAI_KEY=your_openai_key_here
- Replace
your_openai_key_here
with your actual OpenAI key.
- Open the
-
Save the File:
- Save the
.env
file in the same directory as your project.
- Save the
Persai will automatically use this key to authenticate with OpenAI services when you run the package.
How to Use 💡
Follow these steps to analyze your Twitter (X) data using Persai:
-
Export Your Twitter Data:
- Follow Twitter's guidelines to download your Twitter (X) archive.
-
Prepare Your Data:
- Locate the
twitter.js
file in your downloaded Twitter (X) data. - Save this file in the directory where you plan to run the Persai package.
- Locate the
-
Run Persai:
- Use the following Python code to perform the Big Five analysis:
from persai import big_five data = "twitter.js" result = big_five(data) print(result)
Sample Output 📈
After running the script, you'll receive a dictionary with the analysis results. It will look something like this:
{
"openness": "high",
"conscientiousness": "low",
"extraversion": "low",
"agreeableness": "low",
"neuroticism": "low"
}
These results provide a snapshot of the personality traits expressed in your Twitter (X) posts.
Contributing
Feel free to contribute to the project or suggest improvements! 🌟
License
This project is licensed under the MIT License.
Project details
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