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@@ -55,7 +55,7 @@ Hate speech promotes hatred, discrimination, prejudice, or violence against indi
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  [![CSS3](https://img.shields.io/badge/CSS3-1572B6?style=for-the-badge&logo=css3&logoColor=white)](https://en.wikipedia.org/wiki/CSS)
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  [![JavaScript](https://img.shields.io/badge/JavaScript-F7DF1E?style=for-the-badge&logo=javascript&logoColor=black)](https://en.wikipedia.org/wiki/JavaScript)
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  [![Flask](https://img.shields.io/badge/Flask-000000?style=for-the-badge&logo=flask&logoColor=white)](https://flask.palletsprojects.com/en/3.0.x/)
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-
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  ### πŸ–Ό Screenshots
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  <p align="center">
@@ -63,20 +63,25 @@ Hate speech promotes hatred, discrimination, prejudice, or violence against indi
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  <img src="./Screenshot2.jpg"/>
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  <img src="./Screenshot3.jpg"/>
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  </p>
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-
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  ### 🎨 Labels
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  **Multilabel Classification** refers to the task of assigning one or more relevant labels to each text. Each text can be associated with multiple categories simultaneously, such as Age, Gender, Physical, Race, Religion, or Others.
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- | Label | Description |
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- |--------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|
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- | ![Age](https://img.shields.io/badge/Age-FE5555) | Target of hate speech pertains to one's age bracket or demographic |
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- | ![Gender](https://img.shields.io/badge/Gender-F09F2D) | Target of hate speech pertains to gender identity, sex, or sexual orientation |
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- | ![Physical](https://img.shields.io/badge/Physical-FFCC00) | Target of hate speech pertains to physical attributes or disability |
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- | ![Race](https://img.shields.io/badge/Race-2BCE9A) | Target of hate speech pertains to racial background, ethnicity, or nationality |
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- | ![Religion](https://img.shields.io/badge/Religion-424BFC) | Target of hate speech pertains to affiliation, belief, and faith to any of the existing religious or non-religious groups |
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- | ![Others](https://img.shields.io/badge/Others-65696C) | Target of hate speech pertains other topic that is not relevant as Age, Gender, Physical, Race, or Religion |
 
 
 
 
 
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  ### πŸ“œ Dataset
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  2,116 scraped social media posts from Facebook, Reddit, and Twitter manually annotated for determining labels for each data split into three sets:
 
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  [![CSS3](https://img.shields.io/badge/CSS3-1572B6?style=for-the-badge&logo=css3&logoColor=white)](https://en.wikipedia.org/wiki/CSS)
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  [![JavaScript](https://img.shields.io/badge/JavaScript-F7DF1E?style=for-the-badge&logo=javascript&logoColor=black)](https://en.wikipedia.org/wiki/JavaScript)
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  [![Flask](https://img.shields.io/badge/Flask-000000?style=for-the-badge&logo=flask&logoColor=white)](https://flask.palletsprojects.com/en/3.0.x/)
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+ <!--
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  ### πŸ–Ό Screenshots
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  <p align="center">
 
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  <img src="./Screenshot2.jpg"/>
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  <img src="./Screenshot3.jpg"/>
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  </p>
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+ -->
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  ### 🎨 Labels
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  **Multilabel Classification** refers to the task of assigning one or more relevant labels to each text. Each text can be associated with multiple categories simultaneously, such as Age, Gender, Physical, Race, Religion, or Others.
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+
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+ ![Age](https://img.shields.io/badge/Age-FE5555)
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+ Target of hate speech pertains to one's age bracket or demographic
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+ ![Gender](https://img.shields.io/badge/Gender-F09F2D)
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+ Target of hate speech pertains to gender identity, sex, or sexual orientation
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+ ![Physical](https://img.shields.io/badge/Physical-FFCC00)
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+ Target of hate speech pertains to physical attributes or disability
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+ ![Race](https://img.shields.io/badge/Race-2BCE9A)
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+ Target of hate speech pertains to racial background, ethnicity, or nationality
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+ ![Religion](https://img.shields.io/badge/Religion-424BFC)
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+ Target of hate speech pertains to affiliation, belief, and faith to any of the existing religious or non-religious groups
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+ ![Others](https://img.shields.io/badge/Others-65696C)
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+ Target of hate speech pertains other topic that is not relevant as Age, Gender, Physical, Race, or Religion
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  ### πŸ“œ Dataset
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  2,116 scraped social media posts from Facebook, Reddit, and Twitter manually annotated for determining labels for each data split into three sets: