Aspect based sentiment analysis and in depth opinion mining of electronic gadgets employing whale optimized adaptive neural network

Abstract

In the International business market, to keep up with the dynamic newlineconsumer market demand and competition, the commercial behemoths introduce newlinenew commercial products on a regular basis. Though commercial products go newlinethrough many quality tests, the final customer reviews are given more weightage newlinebecause they can be used to improve the performance of the products. Due to the newlinetechnical advancements, the consumers tend to share their experiences and views newlineabout a commercial product on online platform like Amazon, Walmart, Alibaba, newlineFlipkart etc. These reviews could help the producer side to improve the product newlinequality and performance. Despite the benefits, it is difficult to analyse all newlinethe online reviews manually. Automated analysis would help in obtaining the newlineclear-cut sketch of positive and negative reviews, which results in better newlineoutcomes. newlineRecognizing the benefits of automated analysis, this research newlineproposes optimum solutions for analysing the online reviews of the consumers newlineby incorporating different techniques. This proposed research presents a newlinerule-based opinion lexicon expansion and aspect extraction over online reviews. newlineThe aspects of the products are finalized with respect to the customer reviews. newlineAn opinionated sentence extraction scheme is presented for newlineenhancing the quality of the products by considering the online reviews. newlineSentiment dictionaries are employed to compute the aspect score, which are then newlinecompared with each other to determine the quality of the products. newlineThe next stage of the research proposes an aspect-based newlinesentiment classification model for product reviews by employing Sentiment newlineWhale-Optimized Adaptive Neural Network (SWOANN) for classifying the newlinesentiment for key aspects of products and services newline