Abstract
Deep learning is an emerging technique in natural language processing applications. In today's internet world a large amount of data is generated every day. This massive amount of data generated over the internet attracted researchers, industries, decision-makers for investigating the people's thoughts and views on different aspects. Opinion Mining is considered to be a great tool for analyzing people's views and thoughts regarding the products, services, individuals, entities, etc. The decision-makers, companies, business persons, service providers consider opinion mining as the best tool for improvement of their services as it analyzes the people's perspectives. The main objective of this paper is to propose a novel deep learning approach for multilingual opinion mining. A country like India is diversified in languages. People express their views in different languages. The multilingual Opinion Mining technique plays an important role in analyzing the reviews in different languages. Multilingual Opinion Mining is the technique of analyzing people's opinions in different languages. The proposed Deep Learning-based hybrid SMITH algorithm with Adam Optimizer has proven to be efficient in multilingual opinion mining.
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