• Prof.A.G. Shahapurkar
• Mahesh Khadse
• Diksha Badgujar
• Avdhut Patil
• Pruthviraj Thopate

social media is an effective informational channel for sharing details about the goods and services offered by online retailers. Customers who have purchased the goods themselves offer this information. Analysis of customer-cited features and specifications based on their sentiment. These descriptions and reviews may be found on the Flipkart and Twitter websites. Reviews of features/specifications from the Twitter and Flipkart websites were considered for this study project. As a result, the work's analysis of customers' issues with purchasing high-quality goods was its focus. For the purpose of evaluating comments, this work automates the process of extracting semantic-based elements or features and their opinions.

Sentiment Analysis, Aspect, Fuzzy Logic, Ecommerce, Customer Reviews, Decision Making.

"Aspect based Fuzzy Logic Sentiment Analysis on social media Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d447-d451, November-2022, Available :http://www.jetir.org/papers/JETIR2211361.pdf

"Aspect based Fuzzy Logic Sentiment Analysis on social media Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd447-d451, November-2022, Available at : http://www.jetir.org/papers/JETIR2211361.pdf