• Chitra Rathod
• Deep Joshi
• Anjuman Ranavadiya
• Krishna Zala
• Deesha Patel

With the ease of E-Commerce and Mobile Commerce, a new domain for research on reviews by customer has grown. So many researchers have worked toward the same topic and also got significant results. Sentiment analysis over short text and particularly over customer reviews is not as straight forward work as other sentiment analysis work due to variety of products, product features and fake review issues. Topic modeling technique with sentiment analysis can help for better classification of customer reviews. Various machine learning techniques can be applied to dig the real sentiments from the given reviews. In our research work we are going to apply improvement on Graph based multiclass classification for customer reviews from Amazon.

Sentiment Analysis, DNN, LDA, MDK-LDA, SVM

"Feature wise Sentiment based E-Commerce Review system using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.j52-j57, June-2023, Available :http://www.jetir.org/papers/JETIR2306909.pdf

"Feature wise Sentiment based E-Commerce Review system using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppj52-j57, June-2023, Available at : http://www.jetir.org/papers/JETIR2306909.pdf