Duygu_Analizi

Duygu_Analizi

A Gradio app for sentiment analysis of Turkish text using the savasy/bert-base-turkish-sentiment-cased model. It suits people who want to check the tone of Turkish sentences in a browser.

Made by alperbayram on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: Duygu_Analizi is a Gradio app on Hugging Face Spaces for sentiment analysis of Turkish text. Duygu Analizi is Turkish for sentiment analysis. It names the savasy/bert-base-turkish-sentiment-cased model, and the code is app.py with a requirements.txt.

Who it suits: It suits people who want to check the sentiment of Turkish sentences in a browser, and learners who want a short example of a sentiment model behind a Gradio page.

Industry | Who uses it | How they use it | Example
Customer support | Analysts | Check whether a Turkish comment reads as positive or negative | Open the Space and enter a comment
Marketing | Social media teams | Try sentiment on short Turkish posts | Paste a post into the text box
Education | Students | Read app.py to see how a sentiment model is called | Download the Space and open app.py

Anyone who needs other languages or measured accuracy can skip it, since the source gives neither.

Where to use it:

• A web browser, straight from the Space page on Hugging Face
• Windows, macOS or Linux with Python, as a local copy

Use case | Who | What they get back
Score a Turkish sentence | Analysts | A sentiment result shown in the browser
Study a sentiment demo | Learners | A short app file that calls one named model

How to set it up: Using it online needs nothing. A local copy needs these first.

• Python and pip
• The huggingface_hub package, to fetch the files
• The packages in requirements.txt, plus Gradio

1. Install the Hugging Face Hub package.
2. Download the Space into a folder called Duygu_Analizi.
3. Move into that folder.
4. Install Gradio, then the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download alperbayram/Duygu_Analizi --repo-type space --local-dir Duygu_Analizi
cd Duygu_Analizi
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Open the Space page on Hugging Face, enter a Turkish sentence and read the result. For a local copy, run python app.py in the folder and open the page it starts.

Example: You type a Turkish sentence that praises a product. The app sends it to the Turkish sentiment model and shows the sentiment it assigns to the sentence.

For newcomers and experts: If you are new, open the Space page and try one short Turkish sentence. Sentiment analysis means a program judges whether a text sounds positive or negative.

If you know the field, this is a thin Gradio wrapper around one cased Turkish BERT sentiment model. The source gives no label set or accuracy, so check the model page for those.

You type a Turkish sentence in the browser
app.py passes it to the sentiment model
The sentiment result shows on the page

Good to know:

• It relies on one named model and covers Turkish text
• It needs Gradio and the packages in requirements.txt
• License: afl-3
• Cost to run: none named
• Data it reaches: the savasy/bert-base-turkish-sentiment-cased model it names

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: afl-3.0

Links

• Space: https://huggingface.co/spaces/alperbayram/Duygu_Analizi
• Files: https://huggingface.co/spaces/alperbayram/Duygu_Analizi/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.