Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of people. Here, we try to analyze the true meaning of Tamil memes by categorizing them as troll and non-troll. We propose an ingenious model comprising of a transformer-transformer architecture that tries to attain state-of-the-art by using attention as its main component. The dataset consists of troll and non-troll images with their captions as text. The task is a binary classification task. The objective of the model is to pay more attention to the extracted features and to ignore the noise in both images and text.
翻译：泰米尔语是亚洲南部普遍使用和使用的泰米尔语。在社交媒体时代,Memes是人们日常生活中一个有趣的时刻。在这里,我们试图分析泰米尔语的真实含义,将泰米尔语归类为巨人和非巨人。我们提出了一个由变压器-变压器结构组成的巧妙模型,该结构试图通过将注意力作为其主要组成部分来达到最新水平。数据集由巨人和非图案图像组成,其标题为文字。任务是二元分类任务。模型的目标是更多地注意所提取的特征,忽视图像和文字中的噪音。
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