Abstract

The rapid rise of online-based applications, such as forums and blogs, has resulted in comments and updates related to daily activities. Emotional analysis is a process of collecting and analyzing people's ideas, thoughts, and ideas about a variety of topics, products, topics and services. Opinion polls often benefit companies, governments, and individuals by gathering information and making decisions based on ideas. However, emotional analysis and the assessment process face many challenges. These challenges create barriers to accurately defining emotions and determining acceptable emotional differences. Emotional analysis identifies and extracts specific information from the text using language processing and text digging. This article discusses an overview of the strategy for completing this project and for the use of emotional analysis. Then, it evaluates, compares, and investigates common ways to gain a complete understanding of their benefits and disadvantages. Finally, emotional analysis challenges are explored to define future indicators.

Full Text
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