Comparison of CNN-LSTM in Sentiment Analysis for Hindi Mix Language

Abstract

Despite the fact that Hindi is spoken by over 490 million people globally and social media is producing a massive quantity of Hindi data on a daily basis, few research studies and initiatives to develop Hindi language resources and assess user sentiments have been accomplished. The study's major objectives are to (1) develop Hindi-English-Chhattisgarhi dataset for agriculturist's sentiment analysis and (2) assess multiple approaches of sentiment analysis through deep putting the deep learning classifiers into action (1D-CNN and LSTM).