Cross-Lingual Sentiment Analysis in Deep Learning: A Comparative Study of Multilingual Approaches

Sentiment analysis is a rapidly growing field that aims to extract and analyze the opinions and emotions expressed in text. With the increasing popularity of social media and the availability of multilingual data, sentiment analysis on multilingual text has become an important research area. In this paper, we present a comprehensive review of recent advances in sentiment analysis on related languages like Hindi, English, Urdu, Punjabi text. We review the state-of-the-art research papers in this area. Our review includes a comprehensive analysis of the deep learning techniques used in these papers. Our analysis highlights the importance of considering linguistic and cultural differences when analyzing sentiment in multiple languages. Our review provides a comprehensive overview of the current state of research in sentiment analysis on multilingual text and can serve as a useful reference for researchers and practitioners in this field.