Deep Learning Model based Novel Semantic Analysis
Rajat Rajat, Priyanka Jaroli, Chaitanya Singla, Vivek Bhardwaj, Srikanta Kumar Mohapatra
Abstract
Nowadays each and every person connected through the digital platform. The digital market take place the physical market. People purchase everything not going physically on market and buy everything. In the e-commerce platform initially, people purchase any product firstly read the review regarding the product as well as organization provided by the previous customer. The paper illustrates a sentiment analysis on the huge amazon customer review data from the e-commerce website. Initially the dataset in the json format and preprocessing on the data set and convert the dataset into CSV file. Secondly, load the dataset and break the collective information into the training and testing information. Using the method inverse document frequency and term frequency and get features of the information dataset. At last, the deep learning model is use and evaluate the reviews of the customer. The result final outcomes result shows the model precision, recall, f-measure, accuracy and time of the developed model on the real text data.