Hybrid Approach Used to Analyze the Sentiments of Romanized Text (Sindhi)

Sentiment analysis is an important part of natural language processing (NLP). This study evaluated the sentiment Romanized Sindhi Text (RST) using a hybrid approach and ground truth values. The methodology involves three major steps: input data, process on tool, data evaluation results. One hundred RST sentences were used in this study's analysis, which can be positive, neutral, or negative. statements corpus are simple to understand everyday life. research online Python tool text get results form outcomes. showed that 86% have neutral sentiments, 9% total negative only 5% positive sentiments. accuracy was measured calculator value 87.02% basis An error ratio 12.98% calculated found confusion matrix.