An inclusive survey on Sentiment analysis: Approaches, Challenges and Trends

Abstract: Sentiment analysis, often known as opinion mining, is the process of determining and analyzing people's feelings and viewpoints toward goods, subjects, services, or occasions. Organizations may improve their services and products and create a feedback loop that continuously enhances user experiences by turning such information into relevant knowledge. For sentiment analysis applications, social media platforms and e-commerce websites are crucial since they are significant sources of data that are rich in opinions. Around the world, businesses, governments, and scholars use sentiment analysis to gather commercial insights, assess how the public views policies, and aid in well- informed decision-making. In order to introduce readers to this potent technology and promote additional contributions to the area, this paper provides a thorough description of the tasks, current trends, methodology, and challenges of sentiment analysis.

Keywords: Sentiment Analysis, Opinion Mining, Natural Language Processing (NLP), Machine Learning, Deep Learning, Social Media Analysis, Business Intelligence.