• Najmuddin Aamer

Abstract: Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through all customer reviews is difficult, especially for popular items, the number of reviews can be up to hundreds or even thousands. This makes it difficult for a potential customer to read them to make an informed decision. The Opinion Miner system designed in this work aims to mine customer reviews of a product and extract high detailed product entities on which reviewers express their opinions. Opinion expressions are identified and opinion orientations for each recognized product entity are classified as positive or negative.

Opinion Mining, Naïve Bayes, Preprocessing, Feature Extraction.

"Prediction of Customer Review using Opinion Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.456-465, May-2019, Available :http://www.jetir.org/papers/JETIR1905I69.pdf

"Prediction of Customer Review using Opinion Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp456-465, May-2019, Available at : http://www.jetir.org/papers/JETIR1905I69.pdf