Sentiment Analysis Using Neural Network: Application and Future Direction

Sentiment analysis has garnered substantial attention in e-commerce and many other fields. The world Wide web gains a substantial amount of information in text form such product reviews which greatly help subsequent buyers. With booming texts numbers, it has become impossible for buyers to delve into all the reviews. This paper delineates its significance across all aspects of daily life and discusses its assistance to national governance. Humans are emotion-oriented creatures; therefore, research on emotions has substantial development potential. In this paper, three basic algorithms and numerous new improvements are reviewed with neural network in sentiment analysis. Most researchers combine different algorithms while other researchers focus on making slight amendments to an already existing structure. Finally, the shortcomings of existing algorithms and future research directions are discussed. This paper has sorted out numerous different algorithm enhancements conducive to the research tasks of academics.