Sentiment Analysis Model and Its Role in Determining Social Media's Influence on Decision Making

摘要

In recent times, social media platforms have been acting as a significant means for framing a successful business. Its impact on the organizations is helping them to build an appropriate and confining atmosphere to help in the decision-making process which promotes customers to have a better experience in their regular practice. Convinced models have been developed using various social media platforms to refine the decision-making process, which indeed failed in providing persistent accuracy. In this research, we propose a model that minimizes the complications using sentiment analysis and performs certain steps of meticulous analysis which include influence and opinion analysis, data mining preprocessing techniques, machine learning and deep learning. To implement this model, we consider the input as the reviews and requirements of the customer who is utilizing the feature, to produce a valid and acceptable response. These results and evaluations will enable in enhancing the decision-making process of the organization.