• Madumathi C P
• Suchitra B

Recent year modern e-commerce is growing very rapidly. E-commerce websites deals with the online shopping and it’s all about internet marketing buying and selling product. Retailers encouraging customers to write reviews about products to express their opinions on various aspects. Customer's commonly seek quality information from online reviews for shortcut their research and make decisions faster and with greater confidence ever before. In this project, by applying product aspect ranking to two real-world applications, first is document-level sentiment classification and second is extractive review summarize and achieve performance improvement. The aim of document-level sentiment classification is determine positive or negative opinion from consumer reviews and aim to extractive review summarize is to summarize consumer reviews by selecting informative review sentences.

Text –mining, sentiment analysis, Opinion words.

"E-COMMERCE REVIEW WEB-BASED APPLICATION USING TEXT MINING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.67-72, April-2019, Available :http://www.jetir.org/papers/JETIR1904J05.pdf

"E-COMMERCE REVIEW WEB-BASED APPLICATION USING TEXT MINING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp67-72, April-2019, Available at : http://www.jetir.org/papers/JETIR1904J05.pdf