trinhptd / sentiment-analysis-on-p-g-product-s-customer-reivews Goto Github PK
View Code? Open in Web Editor NEWThis project aims to apply opinion mining on data collected on P&G’s reviews to identify main features and determine their relationship with customer satisfaction or dissatisfaction. Analysis of the textual data using text parsing, text topic, text cluster for identifying features and classification of sentimental reviews using predictive models (Text Rule Builder, Logistic Regression, Decision Tree, Neural Network) are deployed within SAS Text Miner 14.3. SAS Sentiment Analysis Studio is used to identify positive and negative reviews from all comments.