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僧伽罗语

僧伽罗语

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Arts and Entertainment,Online Communities,NLP,Classification,Deep Learning Classification

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    README.md

    Context Posting hateful, abusive or insulting comments, most commonly known as Hate Speech has currently been a major issue in social media websites. Hence it would be great if there are datasets that can be used to predict these abusive comments on the internet. Even though there are several datasets available in the English language, currently there are no datasets based on the native language of Sri Lanka, which is Sinhala. Therefore this dataset will help to predict hateful, abusive or insulting comments which are posted on the social media platforms using Sinhala Unicode. Content This dataset contains alphabetically ordered comments made using Sinhala Unicode on Facebook and a label which can be used to identify whether the comment is a hate speech or not. Inspiration Can this dataset be used to predict hateful, abusive or insulting comments which are made in the Sinhala language? Disclaimer The dataset is provided with the understanding that the Author is not herein engaged in rendering legal, accounting, tax, or other professional advice and services. As such, it should not be used as a substitute for consultation with professional accounting, tax, legal or other competent advisers. In no event shall the Author be liable for any special, incidental, indirect, or consequential damages whatsoever arising out of or in connection with your access or use or inability to access or use the Dataset.
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