Sentiment Analysis on E-Commerce Apparels using Convolutional Neural Network

Abstract

The Fourth Industrial Revolution (4.0) is a fusion of advances in Artificial Intelligence (AI), Robotics, the Internet of Things (IoT), Genetic Engineering, Quantum Computing, and other technologies. A large number of people are using internet-based services as a result of enhanced internet infrastructure and decreased costs. As a result, such businesses' attempts to penetrate internet media are disrupted. The e-commerce company, like Amazon, offers both customer-to-customer and business-to-business services in the apparel sector. Companies must understand the needs of buyers to maximize their profits. As a result, consumer sentiment analysis is carried out. However, because this procedure is time-consuming, it is made automatically utilizing artificial intelligence approaches. According to the findings of a study on sentiment analysis on an E-Commerce-based web store for women, the apparels review dataset using the CNN method with the word vector generator and TF-IDF can produce a higher accuracy of 94%.

Quantum computing for social business optimization: a practitioner’s perspective

“…Quantum computing has the potential to revolutionize many areas of business, including social commerce. Social commerce refers to the use of social media platforms to facilitate online shopping and transactions [5,20,21]. Here are some potential ways in which quantum computing could be used in social commerce:…”

“…One of the main bene ts of social commerce is the ability to provide personalized recommendations to users based on their browsing and purchase history [20]. Quantum computing could be used to analyze large amounts of data from social media and other sources to provide even more accurate and tailored recommendations to users [22].…”

“…Fraudulent transactions are a signi cant problem in social commerce, and current methods of detecting and preventing fraud can be time-consuming and imperfect [22]. Quantum computing could be used to analyze transaction data in real-time and identify fraudulent patterns more quickly and accurately [20].…”

“…Quantum computing could be used to optimize the complex supply chains that are often involved in social commerce [20,22]. By analyzing data on inventory levels, shipping times, and other factors, quantum algorithms could help businesses reduce costs and improve e ciency.…”

“…Based on the background study, we identify the following list of important challenging areas that need to be considered while using quantum in social business [5,10,[18][19][20][21][22][23].…”