Hybrid Deep Learning Model for Multilingual Sentiment Analysis
Rishav Negi, Azhar Ashraf, Satbir Singh Sehgal · 2024
The usefulness of understanding public opinion across linguistic boundaries cannot be overstated. Sentiment analysis is a great method for learning more about users’ opinions and their opinions on social networks, such as movie review sites. Natural language processing (NLP) challenges jeopardize sentiment analysis’ efficiency and accuracy. It has been demonstrated that hybrid models can utilize some of the advantages of classical models if deep learning models can overcome the obstacles connected with NLP. We want to look at this hybridization in this study.