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Hotel Review Sentiment Analysis

Overview

Open in Streamlit

In this project I'm trying to deploy a trained model with Streamlit. This model already trained with ~4.000 sentences that is balanced (1:1 ratio) between each class. Language learned by this is Bahasa Indonesia and I'm using IndoBERT Lite Base for pretrained model.

I also published an article on how to implement this in my Medium here.

Usage

It's easy to deploy this on your own. All you have to do is:

  1. Clone this project
  2. Inside that folder, run pip install -r requirements.txt
  3. When done, run streamlit run app.py.

Streamlit will take care the rest and will automatically open a new tab in your favorite browser.

License

This project is licensed under MIT License.

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Streamlit implementation of hotel review sentiment analysis using fine-tuned BERT model

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