Today, digital reviews play a key role in improving global consumer communication and influencing consumer buying patterns. E-commerce giants such as Amazon, Flipkart, and others provide a platform for consumers to share experiences and provide future buyers a hands-on view of product performance. In order to extract valuable information from many reviews, it is necessary to classify reviews into positive reviews and negative reviews. Sentiment analysis is a computer-aided study for extracting subjective information from text. In the proposed work, many reviews have been classified into positive and negative sentiments using Sentiment Analysis. Out of the various classification models Support Vector Machine (SVM) have been employed for classification of reviews. The evaluation of models is done using 10-Fold Cross Validation.
₹10000 (INR)
NON IEEE -2022