Evaluating the Impact of Sentiments in Decision Making: A Review

Abstract

Computers may evaluate and classify the sentiments, feelings, opinions, etc. that individuals express about a topic in text or speech using the machine learning technique which is known as the analysis of sentiments. On the internet, every day the volume of data increases at an unprecedented rate. The majority of online stores allow customers to post product reviews to boost the product sales and improve customer satisfaction. To determine the general sentiment or view polarity from the great majority of these assessments, sentiment analysis may be employed. It would be nearly impossible to manually analyze all the reviews. Therefore, a machine's automated method can be quite helpful in solving these difficult problems. The web is a rich source of unstructured, important data on public perception. Here, along with various methodologies and tools, opinion mining and sentiment analysis' past, present, and future are covered. With the availability of different data sources, this study has conducted a comparative analysis of various sentiment analysis methods. The motive of this research study is to thoroughly examine the challenges faced by sentiment analysis.