kan_hope

Numerous methods have been developed to monitor the spread of negativity in modern years by
eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively
lesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums.
Consequently, we propose creating an English Kannada Hope speech dataset, KanHope and comparing several experiments to benchmark the dataset.
The dataset consists of 6,176 user generated comments in code mixed Kannada scraped from YouTube and manually annotated as bearing hope
speech or Not-hope speech.
This dataset was prepared for hope-speech text classification benchmark on code-mixed Kannada, an under-resourced language.

近年来，众多方法被开发出来以监控社交媒体平台中负面情绪的传播，通过剔除粗俗、冒犯性和激烈的评论。然而，关于拥抱正面情绪、强化在线论坛中的支持性和安慰性内容的学术研究相对较少。因此，我们提出创建一个英文-卡纳达语希望话语数据集，KanHope，并对比多个实验以评估该数据集。该数据集包含6,176条由用户生成的、混合代码的卡纳达语评论，这些评论是从YouTube上抓取的，并经过人工标注为带有希望话语或非希望话语。此数据集旨在为卡纳达语（一种资源较少的语言）中的希望话语文本分类提供基准。