Techniques and Applications for Sentiment Analysis: A Perception

Abstract

Sentiment Analysis (SA) is still being conducted in the field of text mining. SA is the computational handling of textual subjectivity, sentiments, and opinions. This survey article addresses a thorough summary of the most recent developments in this area. Numerous algorithms have been proposed recently. This review examines and briefly presents several SA applications and upgrades. These articles are grouped according on how they contribute to different SA approaches. The linked domains that drew attention to SA (transfer learning, emotion detection, and resource building) Recent researchers are discussed. This survey's primary goal is to provide a virtually complete picture of Brief descriptions of SA techniques and associated disciplines. This paper's primary contributions include the intricate classifications of numerous recent works and the example of the current research trend in sentiment analysis and related fields.