• Mayuri Saste
• Darshana Jinde
• Sanjokta Malusare
• Archana Kapare
• Prof. M. A. Rane

In the modern world, online shopping trend is increasing day by day. People share their opinions, feedbacks and experiences in the form of reviews. This user generated content is very useful for business, government and individuals in decision making. Processing and analyzing this huge opinionated information is difficult and time consuming. Hence there is a need of intelligent system which automatically mines and classifies this data into positive, negative and neutral categories. Sentiment Analysis is a technique in which sentiment is gathered, analyzed and aggregated from text. Sentiment analysis is used for mining this data but to obtain more fine grained analysis we need to go to Aspect Based Sentiment Analysis (ABSA). Data mining, natural language processing and statistical approaches are utilized based on dictionaries, grammatical analysis and semantic understanding of text. Dependency relations use grammatical representation of sentence structure as a set of relationships among entities. ABSA is decomposed into three main subtasks: aspect term extraction, aspect term aggregation and aspect term rating.

"Product Quality Evaluation with the help of customer reviews by using different Data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.669-673, May-2019, Available :http://www.jetir.org/papers/JETIR1905C96.pdf

"Product Quality Evaluation with the help of customer reviews by using different Data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp669-673, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C96.pdf