Comment analysis for food recipe preferences

Comment Analysis for food recipe preferences is to identify user comments on the food recipes to the positive or the negative comments. The proposed method is suitable for analyzing comments or opinions about food recipes by counting the polarity words of food domain. The benefit of this research is to help users to choose the preferred recipes from different food recipes. To analyze food recipes, the comments of each recipe will be collected and classified to neutral, positive or negative comments. Therefore, the user can gain the information to make a smart decision. The evaluation of the comment analysis shows that the accuracy of neutral and positive classification is about 90%.