In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not-hope speech in English, Malayalam and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021.

翻译：在一个充满气候变化、宗教和政治冲突、全球流行病、恐怖主义和种族歧视等严重挑战的世界中,一个充满仇恨言论、污辱性和冒犯性内容的互联网是我们最不希望的。我们在本文件中努力确定和促进这些平台上的积极和支持性内容。我们与几个基于变压器的模式合作,将社交媒体的评论归类为希望演讲或用英语、马拉亚拉姆语和泰米尔语发表非希望演讲。本文描述了我们在2021-EACL 2021年LT-EDIE-EPCL-EPCL 2021“探索希望演说促进平等、多样性和包容”共同任务中的工作。