The Importance of Multi-Lingual Sentiment Analysis in Digital Marketing

Multilingual sentiment analysis has become essential for brands targeting international customers across multiple cultures and languages as a result of the corporate world's growing globalization. To accurately comprehend client opinions and expectations, it is becoming increasingly important to analyze feelings expressed in local languages. In contrast to translating literature to English, it emphasizes how linguistic subtleties, contextual allusions, and cultural connotations collected through native language analysis offer greater insights. Key issues are listed in this research, including linguistic diversity, a dearth of training data, and challenges related to cultural context interpretation across geographic boundaries. To assist businesses in deriving useful insights from multilingual data, it highlights the necessity for advanced Artificial intelligence and deep neural network solutions that incorporate cross-channel, cross-lingual analytics frameworks. Brands can gain a major competitive advantage in optimizing global marketing strategies, increasing customer engagement, and fostering enduring loyalty by tracking attitudes in local languages. This paper proposed a novel approach to deal with Multi-lingual Sentiment Analysis in Digital Marketing.