Business Intelligence Visualization Using Deep Learning Based Sentiment Analysis on Amazon Review Data
Zeel Desai, Karishma Anklesaria, Harish Balasubramaniam · 2021
In recent years, online shopping, especially for electronic devices has surged to high levels. Consumers seek the best products for the price they pay, and companies seek to improve their products in every way possible. The common link between the two aforementioned statements is reviews left by consumers who have already purchased the product. These reviews help consumers make the right decision to buy a product and help companies analyze how the product was received by the consumers. In this paper, we aim to classify sentiments of the reviews from our dataset by using Natural Language Processing (NLP), which has been achieved using certain Deep learning-BERT and LSTM, and Machine learning- Decision Tree, Logistic Regression, Stochastic Gradient Descent, Multinomial Naïve Bayes and Support Vector Machine algorithms. We also aim to help companies selling these products to streamline efficiency and improve customer satisfaction using Business Intelligence (BI), for which we have made use of PowerBI by Microsoft.