artificial intelligence; machine learning; natural language processing; sentiment analysis;
In today's world of online communication, hate speech is a big problem. This dataset focuses on hate speech in Bengali, analyzing speeches to see if they contain hate or not. While there are many ways to analyze text online, most of them focus on languages like English, leaving out Bengali. But hate speech in Bengali is serious and common, especially on platforms like Facebook and YouTube. Sometimes, even TV shows have comments that are not nice for everyone to see. Finding and stopping hate speech in Bengali is hard because there aren't good tools for it yet.
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The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.
Dataset Description:
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191 Views
RITA (Resource for Italian Tests Assessment), is a new NLP dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level.
RITA dataset is available for automatic processing in CSV and XML format, under an agreement of citation.
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317 Views
SCD Dataset: This new dataset has been specifically created for the development and education of children with down syndrome. The dataset, containing a total of 13,500 Turkish question-answer pairs, has "positive" and "negative" emotion labels. In the context of human-robot interaction, accurately identifying and addressing positive and negative emotions has a significant impact on user experience and satisfaction. Neutral questions and answers provide less information in terms of sentiment analysis and are less relevant to the purpose of this study.
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347 Views