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@@ -102,51 +102,4 @@ The testing set containing 633 annotated hate speech data used to analyze perfor
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  **Overall Hamming Loss:** 3.79%
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- ## 🛠️ Installation
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-
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- ### 📦 Clone with git-lfs
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- Since this repo contains large data files (>= 50MB), you need to first download and install a git plugin called git-lfs for versioning large files, and set up Git LFS using command git lfs install in console, in order to fully clone this repo.
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-
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- ### 🏃 How to run
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-
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- #### Setup model
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-
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- - Clone the repository:
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- ```
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- git clone https://github.com/kenth9p3/mlthsc-thesis.git
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- ```
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- - Create a virtual environment:
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- ```
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- # Windows
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- python -m venv venv
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-
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- # Linux
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- python3 -m venv venv
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- ```
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- - Activate virtual environment:
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- ```
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- # Windows
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- source venv/Scripts/activate
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-
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- # Linux
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- source venv/bin/activate
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- ```
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- - Install dependencies:
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- ```
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- pip install -r requirements.txt
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- ```
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- - Run app:
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- ```
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- python ./server.py
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- ```
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-
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- #### Setup user interface
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-
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- - Run `index.html` in the browser
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-
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- - Input Tagalog hate speech in text box or choose one of the examples
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- - Click Analyze
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- - Save results
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  **Overall Hamming Loss:** 3.79%
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