Technological Evaluation of Approaches in Sentiment Analysis for Text Corpus: An Insight

Abstract

Sentiment Analysis contributes towards offering exposure to in-depth insights of consumers related to the product/services of any organization. With the evolution of mobile networks and advancements in cloud technology, there is massive evolution of textual corpus, which has become a significant concern for any analyst. The complexity of data will eventually lead to selectingan inappropriate state of existing sentiment analysis tool that leads to potential outliers in the prediction of sentiments. Various dedicated research work towards sentiment analysis to find the importance is offered mainly on natural language processing and machine learning approach to gain higher accuracy. Still, there is no compact report on its effectiveness. Hence, this paper contributes towards presenting the study findings onthe strength and weaknesses of existing machine learning approaches used in Sentiment analysis and deriving a research gap followed by a briefing onthe future direction of work.2020 Mathematical Sciences Classification : 46N20, 46S40, 47H10, 37C25, 54H25, 55M20, 58C30.