Cooking Well, With Love, Is an Art: Transformers on Youtube Hinglish Data

Youtube gives a place for viewers to express their views on a variety of issues. This study focuses on opinion mining from a dataset containing comments from Nisha Madulika’s and Kabita’s Kitchen’s YouTube culinary channels. The information includes Mix code comments in both English and a Hindi-English hybrid known as Hinglish. On both datasets, variations of the Bidirectional Encoder Representations from Transformers (BERT) have been trained. BERT outperformed the baseline trained on machine learning in terms of outcomes. The results show that the innovative BERT models (84.82% and 88.37%) are likely to outperform on Hinglish datasets with fine-tuning.