Mulilingual-Hope-Speech-Dataset

This dataset comprises Instagram comments collected from three prominent accounts, covering Arabic, English, and Kurdish languages. The Arabic comments were scraped from the official Instagram account of "Al-Jazeera", the English comments from the official "CNN" Instagram account, and the Kurdish comments from the official "Kurdmagazine" Instagram account. Each comment was manually labeled into one of two categories: "Hope" or "Not_Hope". Comments that conveyed a sense of optimism, positivity, peace, or neutrality were classified as "Hope", while comments expressing anger, hatred, toxicity, bullying, cursing, or swearing were categorized as "Not_Hope".

The dataset provides a high-quality resource for training and evaluating various machine learning and deep learning models. Its multilingual nature makes it suitable for cross-linguistic studies and the development of models capable of processing diverse languages. Additionally, this dataset can be utilized for creating advanced algorithms tailored to hope speech detection.

Potential applications of the dataset include social media analysis, where it can help monitor public sentiment and promote positive interactions, and content moderation, enabling platforms to automatically filter harmful or toxic comments. Furthermore, the dataset could support initiatives focused on peace promotion by identifying and amplifying hopeful speech, fostering a sense of optimism within online communities. This dataset offers a valuable foundation for advancing research and development in the domain of multilingual sentiment analysis and hope speech detection.