• Priyadharshini S
• Vanitha R

Text summarization is risen as a vital research territory. Summarization is where the most striking highlights of a content are extricated and arranged into a short abstract of the first record. Gather the sentiment related dataset in Amazon review. Sentiment is a method for estimating the feelings behind social media and online customer review mentions. It is a way in which you can gauge the tone of the discussion that is occurring is this individual satisfied, happy, angry, or irritated? It's insufficient to realize that something is drifting. Sentiment adds setting to social media. In this paper, both an unsupervised and a supervised method are proposed that are able to find positive, negative and neutral sentiment analysis in amazon review dataset. The supervised learning used SVM (support vector machine) algorithm. An unsupervised learning used ANN (artificial neural network) algorithm. In our paper, summarize the text into following steps. (a) Remove stop words (b) Identify category seed word sets. (c) Using supervised and unsupervised method classified positive, negative and neutral sentiment analysis and finally compare both supervised and unsupervised result.

Sentiment Analysis, Supervised Learning, Unsupervised Learning.

"An Efficient Sentiment Analysis and Summarization Using Unsupervised and Supervised Method for Amazon Review Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.90-93, May-2019, Available :http://www.jetir.org/papers/JETIRBI06016.pdf

"An Efficient Sentiment Analysis and Summarization Using Unsupervised and Supervised Method for Amazon Review Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp90-93, May-2019, Available at : http://www.jetir.org/papers/JETIRBI06016.pdf